Subjects -> JOURNALISM AND PUBLICATION (Total: 234 journals)
    - JOURNALISM (31 journals)
    - JOURNALISM AND PUBLICATION (163 journals)
    - NEW AGE PUBLICATIONS (8 journals)
    - PUBLISHING AND BOOK TRADE (32 journals)

JOURNALISM AND PUBLICATION (163 journals)                     

Showing 1 - 17 of 17 Journals sorted alphabetically
#PerDebate     Open Access   (Followers: 1)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3)
Advances in Journalism and Communication     Open Access   (Followers: 33)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 21)
African Journalism Studies     Hybrid Journal   (Followers: 2)
American Journalism     Hybrid Journal   (Followers: 2)
Âncora : Revista Latino-Americana de Jornalismo     Open Access  
Annales françaises d'Oto-rhino-laryngologie et de Pathologie Cervico-faciale     Full-text available via subscription   (Followers: 3)
Anuario de investigaciones     Open Access  
Apparence(s)     Open Access   (Followers: 1)
Apunts. Medicina de l'Esport     Full-text available via subscription   (Followers: 1)
Archives of Cardiovascular Diseases Supplements     Full-text available via subscription   (Followers: 4)
Archivos de Medicina Veterinaria     Open Access   (Followers: 1)
Arethusa     Full-text available via subscription   (Followers: 4)
Arizona Journal of Hispanic Cultural Studies     Full-text available via subscription   (Followers: 6)
Arizona Quarterly: A Journal of American Literature, Culture, and Theory     Full-text available via subscription   (Followers: 17)
Asian Journal of Animal Sciences     Open Access   (Followers: 4)
Asian Journal of Information Management     Open Access   (Followers: 9)
Asian Journal of Marketing     Open Access   (Followers: 6)
Astérion     Open Access   (Followers: 1)
Atención Primaria     Open Access   (Followers: 2)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 6)
Bibliothecae.it     Open Access   (Followers: 2)
BMS: Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique     Hybrid Journal   (Followers: 4)
Brazilian Journalism Research     Open Access   (Followers: 2)
British Journal of General Practice     Full-text available via subscription   (Followers: 41)
Brookings Papers on Economic Activity     Open Access   (Followers: 73)
Brookings-Wharton Papers on Financial Services     Full-text available via subscription   (Followers: 3)
Brookings-Wharton Papers on Urban Affairs     Full-text available via subscription   (Followers: 8)
Bulletin of the Comediantes     Full-text available via subscription   (Followers: 2)
Cahiers d'histoire. Revue d'histoire critique     Open Access   (Followers: 14)
Cahiers de la Méditerranée     Open Access   (Followers: 1)
CIC. Cuadernos de Informacion y Comunicacion     Open Access   (Followers: 7)
Comics Grid : Journal of Comics Scholarship     Open Access   (Followers: 9)
Communication & Society     Open Access   (Followers: 5)
Communication and Media in Asia Pacific (CMAP)     Open Access   (Followers: 2)
Communication Cultures in Africa     Open Access   (Followers: 6)
Communication Papers : Media Literacy & Gender Studies     Open Access   (Followers: 20)
Comunicação Pública     Open Access   (Followers: 2)
Comunicación y Ciudadanía     Open Access  
Comunicacion y Hombre     Open Access   (Followers: 3)
Cuadernos.info     Open Access  
Cybergeo : European Journal of Geography     Open Access   (Followers: 6)
De Arte     Hybrid Journal   (Followers: 4)
Deutsche Zeitschrift für Akupunktur     Full-text available via subscription   (Followers: 2)
Développement durable et territoires     Open Access   (Followers: 2)
Die Kerkblad     Full-text available via subscription  
Digital Journalism     Hybrid Journal   (Followers: 6)
Documentación de las Ciencias de la Información     Open Access  
E-rea     Open Access   (Followers: 2)
El Argonauta español     Open Access   (Followers: 1)
English in Africa     Full-text available via subscription   (Followers: 4)
Espaço e Tempo Midiáticos     Open Access  
Estudios sobre el Mensaje Periodístico     Open Access   (Followers: 1)
Études caribéennes     Open Access   (Followers: 2)
European Science Editing     Open Access   (Followers: 5)
Filo de Palabra     Open Access  
French Studies in Southern Africa     Full-text available via subscription   (Followers: 1)
Frontiers in Research Metrics and Analytics     Open Access   (Followers: 6)
General Relativity and Gravitation     Hybrid Journal   (Followers: 2)
Géocarrefour     Open Access  
Grey Room     Hybrid Journal   (Followers: 18)
Hipertext.net : Anuario Académico sobre Documentación Digital y Comunicación Interactiva     Open Access  
IFE Psychologia : An International Journal     Full-text available via subscription   (Followers: 1)
Image & Text : a Journal for Design     Full-text available via subscription   (Followers: 17)
Improntas     Open Access  
In die Skriflig / In Luce Verbi     Open Access   (Followers: 3)
Index on Censorship     Hybrid Journal   (Followers: 4)
Information Today     Full-text available via subscription   (Followers: 41)
InMedia     Open Access  
International Journal of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 3)
International Journal of Entertainment Technology and Management     Hybrid Journal   (Followers: 5)
Investment Analysts Journal     Hybrid Journal   (Followers: 3)
IRIS - Revista de Informação, Memória e Tecnologia     Open Access  
Journal of European Periodical Studies     Open Access   (Followers: 1)
Journal of Health Care for the Poor and Underserved     Full-text available via subscription   (Followers: 8)
Journal of Healthcare Risk Management     Hybrid Journal   (Followers: 8)
Journal of Illustration     Hybrid Journal   (Followers: 3)
Journal of Information Privacy and Security     Hybrid Journal   (Followers: 3)
Journal of Integrative Environmental Sciences     Hybrid Journal   (Followers: 4)
Journal of Interactive Marketing     Hybrid Journal   (Followers: 10)
Journal of International and Intercultural Communication     Hybrid Journal   (Followers: 23)
Journal of Investigative and Clinical Dentistry     Hybrid Journal   (Followers: 2)
Journal of Islamic Law and Culture     Hybrid Journal   (Followers: 4)
Journal of Jewish Identities     Full-text available via subscription   (Followers: 13)
Journal of Late Antiquity     Full-text available via subscription   (Followers: 6)
Journal of Latin American Geography     Full-text available via subscription   (Followers: 6)
Journal of LGBT Youth     Hybrid Journal   (Followers: 13)
Journal of Literacy Research     Hybrid Journal   (Followers: 10)
Journal of Literary & Cultural Disability Studies     Hybrid Journal   (Followers: 15)
Journal of Media Ethics : Exploring Questions of Media Morality     Hybrid Journal   (Followers: 14)
Journal of Medieval Iberian Studies     Hybrid Journal   (Followers: 9)
Journal of the Brazilian Society of Mechanical Sciences     Open Access   (Followers: 2)
Journal of the Early Republic     Full-text available via subscription   (Followers: 13)
Journal of the Short Story in English     Open Access   (Followers: 7)
Journal of Thyroid Research     Open Access   (Followers: 1)
Journal of Transatlantic Studies     Hybrid Journal   (Followers: 7)
Journal of World History     Full-text available via subscription   (Followers: 32)
Journalism & Mass Communication Educator     Hybrid Journal   (Followers: 23)
Journalism & Communication Monographs     Hybrid Journal   (Followers: 17)
Journalism & Mass Communication Quarterly     Hybrid Journal   (Followers: 31)
Journalism Research     Open Access   (Followers: 4)
Journalistica - Tidsskrift for forskning i journalistik     Open Access   (Followers: 2)
Komunika     Open Access   (Followers: 3)
L'Espace Politique     Open Access  
L'Homme     Open Access   (Followers: 10)
La corónica : A Journal of Medieval Hispanic Languages, Literatures, and Cultures     Full-text available via subscription   (Followers: 4)
La Presse Médicale     Full-text available via subscription   (Followers: 3)
Language     Full-text available via subscription   (Followers: 31)
Latin American Perspectives     Hybrid Journal   (Followers: 15)
Latin American Research Review     Full-text available via subscription   (Followers: 14)
Law, State and Telecommunications Review     Open Access   (Followers: 1)
Les Cahiers d'Outre-Mer     Open Access   (Followers: 1)
Media & Jornalismo     Open Access  
Memory     Hybrid Journal   (Followers: 21)
Merrill-Palmer Quarterly     Full-text available via subscription   (Followers: 1)
Missionalia : Southern African Journal of Mission Studies     Open Access   (Followers: 4)
Museum International Edition Francaise     Hybrid Journal   (Followers: 4)
Natural Language Semantics     Hybrid Journal   (Followers: 7)
Newspaper Research Journal     Full-text available via subscription  
Nordic Journal of Media Management     Open Access   (Followers: 4)
Norsk medietidsskrift     Open Access  
OJS på dansk     Open Access   (Followers: 3)
Papers of The Bibliographical Society of Canada     Open Access  
Periodica Mathematica Hungarica     Full-text available via subscription   (Followers: 1)
Physics of the Solid State     Hybrid Journal   (Followers: 5)
Pollack Periodica     Full-text available via subscription   (Followers: 1)
Pozo de Letras     Open Access  
Prometheus : Critical Studies in Innovation     Hybrid Journal   (Followers: 3)
Publishers Weekly     Free   (Followers: 3)
Qatar Foundation Annual Research Forum Proceedings     Open Access   (Followers: 4)
Religion, State and Society     Hybrid Journal   (Followers: 6)
Revista Observatório     Open Access  
Revue archéologique de l'Est     Open Access   (Followers: 4)
Revue archéologique du Centre de la France     Open Access   (Followers: 1)
Revue d’économie industrielle     Open Access  
Revue européenne des migrations internationales     Open Access   (Followers: 5)
RUDN Journal of Studies in Literature and Journalism     Open Access   (Followers: 3)
Scientometrics     Hybrid Journal   (Followers: 42)
Sensorium Journal     Open Access   (Followers: 1)
Signo y Pensamiento     Open Access  
South African Radiographer     Full-text available via subscription  
Southern African Forestry Journal     Full-text available via subscription   (Followers: 1)
Southern African Journal of Anaesthesia and Analgesia     Open Access   (Followers: 8)
Stellenbosch Theological Journal     Open Access   (Followers: 2)
Stilet : Tydskrif van die Afrikaanse Letterkundevereniging     Full-text available via subscription   (Followers: 1)
Studia Socialia Cracoviensia     Open Access   (Followers: 1)
Studies in Multidisciplinarity     Full-text available via subscription   (Followers: 2)
Syntax     Hybrid Journal   (Followers: 3)
Sztuka Edycji     Open Access   (Followers: 4)
TD : The Journal for Transdisciplinary Research in Southern Africa     Open Access  
Time     Full-text available via subscription   (Followers: 4)
Tracés     Open Access  
Transport Policy     Hybrid Journal   (Followers: 20)
Trípodos     Open Access  
Tydskrif vir Geesteswetenskappe     Open Access  
Tydskrif vir Letterkunde     Open Access  
Ufahamu : A Journal of African Studies     Open Access   (Followers: 2)
Variants : Journal of the European Society for Textual Scholarship     Open Access   (Followers: 1)
Veld & Flora     Full-text available via subscription   (Followers: 1)
Verbum et Ecclesia     Open Access   (Followers: 3)
Word and Action = Woord en Daad     Full-text available via subscription  
World Futures: Journal of General Evolution     Hybrid Journal   (Followers: 2)

           

Similar Journals
Journal Cover
Scientometrics
Journal Prestige (SJR): 1.125
Citation Impact (citeScore): 3
Number of Followers: 42  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0138-9130 - ISSN (Online) 1588-2861
Published by Springer-Verlag Homepage  [2626 journals]
  • Quantitative evaluation of the production and trends in research applying
           the structural equation modelling method
    • Abstract: Abstract There are various statistical methods serving to analyse data and test hypotheses. The structural equation modelling method is nonetheless one of the most widespread as it allows to estimate complex causal relationships between different variables. Moreover, has been greatly promoted since the emergence of new information and communication technologies. This paper presents a quantitative study of the performance and evolution of research applying structural equation modelling in Social Sciences. SciMAT software has served for the bibliometric analysis. The results indicate that the thematic areas revealing the greatest relevance throughout the last three decades (1990–2019) are behaviour and health. This contribution of this study is that it offers a comprehensive view of the status quo and predicts further research trends.
      PubDate: 2021-01-05
       
  • Internationalisation, innovation, and academic–corporate
           co-publications
    • Abstract: Abstract Research policy often asks for international academic collaboration or collaborations between universities and other actors in society. To improve the understanding of such collaborations, a systematic analysis of academic–corporate co-publications was conducted, with a focus on the international dimension. Based on the global volume of publications in the Scopus database, one result is that academic–corporate co-publications enjoy a higher citation impact than other types of publications. Another result is that such co-publications are to a large extent internationally co-authored. Studies of ten countries and the ten plus ten largest academic and corporate institutions in these countries in terms of academic–corporate co-publications confirm these results and provide further details. Finally, the results indicate a positive correlation between the share of academic–corporate co-publications in a country and the innovation performance in indices such as the Global Innovation Index and the European Innovation Scoreboard. This study highlights the need to consider the numbers of co-authors and the high share of international co-publications when analyses are based on academic–corporate co-publications. Even though academic–corporate co-publications only reflect a small part of all academic–corporate collaborations, academic–corporate co-publications are shown to be useful as one of many potential tools to assess collaborations between academic and corporate actors and associated investments in research and innovation. It is also argued that the results of the study support policies promoting academic–corporate collaborations leading to co-publications.
      PubDate: 2021-01-05
       
  • A study of citations to STEM databases: ACM Digital Library, Engineering
           Village, IEEE Xplore , and MathSciNet
    • Abstract: Abstract Databases are the discovery mechanisms used for searching and browsing scholarly information. Citings to Science, Technology, Engineering, and Mathematics (STEM) databases used by computer scientists, engineers, and mathematicians were analyzed for coverage and impact in the literature. This study uses the Web of Science (WoS) database to conduct a cited reference search to ACM Digital Library, Engineering Village, IEEE Xplore, and MathSciNet. The respective citation counts were compared by document types, publication year, language, country, organization, WoS category, and source title. The resulting low citation counts and lack of reference formatting agreement to these databases were in line with the predicted hypothesis. The impact of STEM databases in citations appears to be undercounted since they are not often included in citations. This article is intended to spark debate on the practice of citing databases in scholarly publications.
      PubDate: 2021-01-05
       
  • An intersectional approach to analyse gender productivity and open access:
           a bibliometric analysis of the Italian National Research Council
    • Abstract: Abstract Gender equality and Open Access (OA) are priorities within the European Research Area and cross-cutting issues in European research program H2020. Gender and openness are also key elements of responsible research and innovation. However, despite the common underlying targets of fostering an inclusive, transparent and sustainable research environment, both issues are analysed as independent topics. This paper represents a first exploration of the inter-linkages between gender and OA analysing the scientific production of researchers of the Italian National Research Council under a gender perspective integrated with the different OA publications modes. A bibliometric analysis was carried out for articles published in the period 2016–2018 and retrieved from the Web of Science. Results are presented constantly analysing CNR scientific production in relation to gender, disciplinary fields and OA publication modes. These variables are also used when analysing articles that receive financial support. Our results indicate that gender disparities in scientific production still persist particularly in STEM disciplines, while the gender gap is the closest to parity in medical and agricultural sciences. A positive dynamic toward OA publishing and women’s scientific production is shown when disciplines with well-established open practices are related to articles supported by funds. A slightly higher women’s propensity toward OA is shown when considering Gold OA, or authorships with women in the first and last article by-line position. The prevalence of Italian funded articles with women’s contributions published in Gold OA journals seems to confirm this tendency, especially if considering the weak enforcement of the Italian OA policies.
      PubDate: 2021-01-05
       
  • Big data augmentated business trend identification: the case of mobile
           commerce
    • Abstract: Abstract Identifying and monitoring business and technological trends are crucial for innovation and competitiveness of businesses. Exponential growth of data across the world is invaluable for identifying emerging and evolving trends. On the other hand, the vast amount of data leads to information overload and can no longer be adequately processed without the use of automated methods of extraction, processing, and generation of knowledge. There is a growing need for information systems that would monitor and analyse data from heterogeneous and unstructured sources in order to enable timely and evidence-based decision-making. Recent advancements in computing and big data provide enormous opportunities for gathering evidence on future developments and emerging opportunities. The present study demonstrates the use of text-mining and semantic analysis of large amount of documents for investigating in business trends in mobile commerce (m-commerce). Particularly with the on-going COVID-19 pandemic and resultant social isolation, m-commerce has become a large technology and business domain with ever growing market potentials. Thus, our study begins with a review of global challenges, opportunities and trends in the development of m-commerce in the world. Next, the study identifies critical technologies and instruments for the full utilization of the potentials in the sector by using the intelligent big data analytics system based on in-depth natural language processing utilizing text-mining, machine learning, science bibliometry and technology analysis. The results generated by the system can be used to produce a comprehensive and objective web of interconnected technologies, trends, drivers and barriers to give an overview of the whole landscape of m-commerce in one business intelligence (BI) data mart diagram.
      PubDate: 2021-01-05
       
  • Mapping the research history, collaborations and trends of remote sensing
           in fire ecology
    • Abstract: Abstract A combination of bibliometric and science mapping methods was carried out to explore characteristics of scientific production on the application of orbital remote sensing in fire ecology. The performance analyzes made it possible to identify the main actors responsible for the knowledge (authors, institutions and countries) and the journals selected for dissemination. Through co-occurrence and co-authorship networks we analyze the temporal evolution of knowledge, analyzing the emergence of themes and research methods, in addition to the pattern of interaction between the main actors involved. The research universe consisted of articles published in indexed journals at Scopus. Of the 2602 initial articles identified, 1977 articles were selected and a subsample of 1832 was selected for the period 2000–2019. As a result, we found that the production of articles started in 1973 and increased over time, with great expansion from 2000s, when different themes, tools and techniques were identified. Corroborating these results, we observed keywords networks more complex and richer in themes, tools and techniques in the period 2000–2019. On the topics surveyed, in the most recent period, there was a greater frequency of subjects such as risk, regime, history and severity. These topics are generally investigated based on data on active fire and global burnt area, which is why the articles most cited in the literature mostly dealt with techniques for obtaining these estimates. Regarding those responsible for research, we demonstrate that although scientific knowledge is concentrated in a few geographical centers and institutions, there are high scientific partnerships and cooperation.
      PubDate: 2021-01-05
       
  • Comparative analysis of the research productivity, publication quality,
           and collaboration patterns of top ranked library and information science
           schools in China and the United States
    • Abstract: Abstract This study examines the research productivity, publication quality, and collaboration patterns of researchers from the top-ranked library and information science (LIS) schools in China and the United States using Web of Science (WoS) and Scopus data. In particular, this study investigates the monetary reward policies of the Chinese LIS schools that might influence their researchers’ publishing activities. The results show that most of the top-ranked LIS schools in China offer monetary rewards to their faculty to publish in journals indexed in WoS as first authors. In addition, the findings indicate that the number of WoS papers by researchers working in Chinese LIS schools has increased rapidly and the ratio of this number to that of such papers by their US counterparts has been rising over the past decade. However, we observe no such rising trend in papers that are indexed only in Scopus. Although the Chinese LIS schools have a higher average annual growth rate of WoS publications than US LIS schools, they still lag considerably behind their US counterparts in publication quality, as measured by citations. We also find that Chinese LIS researchers are less likely to be supporting authors on their international collaborative publications than their US counterparts.
      PubDate: 2021-01-05
       
  • Paper acceptance prediction at the institutional level based on the
           combination of individual and network features
    • Abstract: Abstract Papers published in top conferences or journals is an important measure of the innovation ability of institutions, and ranking paper acceptance rate can be helpful for evaluating affiliation potential in academic research. Most studies only focus on the paper quality itself, and apply simple statistical data to estimate the contribution of institutions. In this work, a novel method is proposed by combining different types of features of affiliation and author to predict the paper acceptance at the institutional level. Based on the history of the paper published, this work firstly calculates the affiliation scores, constructs an institutional collaboration network and analyzes the importance of the institutions using network centrality measures. Four measures about the authors’ influence and capability are then extracted to take the contributions of authors into consideration. Finally, a random forest algorithm is adopted to solve the prediction problem of paper acceptance. As a result, this paper improves the ranking of the paper acceptance rate NDCG@20 to 0.865, which is superior to other state-of-the-art approaches. The experimental results show the effectiveness of proposed method, and the information between different types of features can be complementary for predicting paper acceptance rate.
      PubDate: 2021-01-05
       
  • Quantifying the publication preferences of leading research universities
    • Abstract: Abstract Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide university leagues. In order to examine the uniqueness of this group of universities we analyze the scientific production of a sample of them in a 5 year period of time. On the one hand, we analyze their preferences in research measured with the relative percentage of publications in the different subject areas, and on the other hand, we calculate the similarity between them in research preferences. In order to select a set of research universities, we studied the leading university rankings of Shanghai, QS, Leiden, and Times Higher Education (THE). Although the four rankings own well established and developed methodologies and hold great prestige, we choose to use THE because data were readily available for doing the study we had in mind. Having done that, we selected the twenty academic institutions ranked with the highest score in the last edition of THE World University Rankings 2020 and to contrast their impact, we also, we compared them with the twenty institutions with the lowest score in this ranking. At the same time, we extracted publication data from Scopus database for each university and we applied bibliometrics indicators from Elsevier’s SciVal. We applied the statistical techniques cosine similarity and agglomerative hierarchical clustering analysis to examine and compare affinities in research preferences among them. Moreover, a cluster analysis through VOSviewer was done to classify the total scientific production in the four major fields (health sciences, physical sciences, life sciences and social sciences). As expected, the results showed that top universities have strong research profiles, becoming the leaders in the world in those areas and cosine similarity pointed out that some are more affine among them than others. The results provide clues for enhancing existing collaboration, defining and re-directing lines of research, and seeking for new partnerships to face the current pandemic to find was to tackle down the covid-19 outbreak.
      PubDate: 2021-01-04
       
  • Why an automated tracker finds poor sharing of clinical trial results for
           an academic sponsor: a bibliometric analysis
    • Abstract: Abstract Objective: a Researchers have a duty to make the results of their research available publicly. According to the FDA, clinical trial data must be made public less than 12 months after the end of the trial. The trialstracker website (https://trialstracker.ebmdatalab.net/#/) ranks sponsors according to the proportion of unpublished clinical trials by extracting data from a prospective trial registry: clinicaltrials.gov. A low proportion of published trials could be explained by a failure to share results or the sponsor incorrectly filling out the clinicaltrials.gov database. The objective of this study was to assess for which of these reasons one academic sponsor was shown to have a high proportion of unpublished results. Methods: Bibliographic searches were performed and followed up with an email contact for the 104 HCL (Hospices Civils de Lyon, France) trials used by trialstracker to assess publication status. Results: Trialstracker considered that only 25 out of the 104 HCL trials had been published. By searching PubMed between February and April 2019, we rapidly identified publications for 27 further trials. A more advanced search and contact with the investigators allowed us to identify 24 more published trials. Overall, the proportion of trials published was 72.1% (n = 75) i.e. 3 times higher than the proportion provided by trialstracker. Even when restricted to the results found via a simple search, the proportion of publications was still higher with a two-fold increase. Conclusion: We found that trialstracker greatly underestimated the number of publications. All actors should therefore contribute to improving the visibility of clinical trial results by providing NCT numbers for all publications (investigator), and by updating clinicaltrials.gov (sponsor and investigator).
      PubDate: 2021-01-04
       
  • The lack of meaningful boundary differences between journal impact factor
           quartiles undermines their independent use in research evaluation
    • Abstract: Journal impact factor (JIF) quartiles are often used as a convenient means of conducting research evaluation, abstracting the underlying JIF values. We highlight and investigate an intrinsic problem associated with this approach: the differences between quartile boundary JIF values are usually very small and often so small that journals in different quartiles cannot be considered meaningfully different with respect to impact. By systematically investigating JIF values in recent editions of the Journal Citation Reports (JCR) we determine it is typical to see between 10 and 30% poorly differentiated journals in the JCR categories. Social sciences are more affected than science categories. However, this global result conceals important variation and we also provide a detailed account of poor quartile boundary differentiation by constructing in-depth local quartile similarity profiles for each JCR category. Further systematic analyses show that poor quartile boundary differentiation tends to follow poor overall differentiation which naturally varies by field. In addition, in most categories the journals that experience a quartile shift are the same journals that are poorly differentiated. Our work provides sui generis documentation of the continuing phenomenon of impact factor inflation and also explains and reinforces some recent findings on the ranking stability of journals and on the JIF-based comparison of papers. Conceptually there is a fundamental problem in the fact that JIF quartile classes artificially magnify underlying differences that can be insignificant. We in fact argue that the singular use of JIF quartiles is a second order ecological fallacy. We recommend the abandonment of the quartiles reification as an independent method for the research assessment of individual scholars.
      PubDate: 2021-01-04
       
  • A deep learning framework to early identify emerging technologies in
           large-scale outlier patents: an empirical study of CNC machine tool
    • Abstract: Abstract Radical novelty is one of the key characteristics of emerging technologies. This characteristics makes emerging technologies as a quite different from established technologies. From the perspective of radical novelty, some studies consider patents with little similarity in terms of key concepts and contents to existing patents as candidate emerging technologies. However, existing research remains in examining small-scale patents for evaluating candidate emerging technologies due to the lack of data-processing capacity—the recent rising of deep learning methods may help in this. This study, therefore, develops a novel deep learning based framework for identifying emerging technologies by combining a technological impact evaluation using patents and a social impact evaluation using website articles. Using a large scale multi-source dataset including 129,694 patents and 35,940 website articles, this paper applies the framework to investigate the case of computerized numerical control machine tool technology, through which the framework is validated. The results show that 16,131 patents out of 129,694 patents are considered as candidate emerging technologies, and 192 patents out of 16,131 patents are identified as emerging technologies through the evaluation of technology impact and social impact. This implies that these candidate emerging technologies can evolve to emerging technologies, though not all of them—we need deep learning method to scrutinize a larger scale multi-source data to identify rather a small number of potential emerging technologies. The proposed framework can also be extended to explore other disciplinary multi-source data for strategic decision support in identifying emerging technologies.
      PubDate: 2021-01-04
       
  • Using altmetrics for detecting impactful research in quasi-zero-day
           time-windows: the case of COVID-19
    • Abstract: Abstract On December 31st 2019, the World Health Organization China Country Office was informed of cases of pneumonia of unknown etiology detected in Wuhan City. The cause of the syndrome was a new type of coronavirus isolated on January 7th 2020 and named Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). SARS-CoV-2 is the cause of the coronavirus disease 2019 (COVID-19). Since January 2020 an ever increasing number of scientific works related to the new pathogen have appeared in literature. Identifying relevant research outcomes at very early stages is challenging. In this work we use COVID-19 as a use-case for investigating: (1) which tools and frameworks are mostly used for early scholarly communication; (2) to what extent altmetrics can be used to identify potential impactful research in tight (i.e. quasi-zero-day) time-windows. A literature review with rigorous eligibility criteria is performed for gathering a sample composed of scientific papers about SARS-CoV-2/COVID-19 appeared in literature in the tight time-window ranging from January 15th 2020 to February 24th 2020. This sample is used for building a knowledge graph that represents the knowledge about papers and indicators formally. This knowledge graph feeds a data analysis process which is applied for experimenting with altmetrics as impact indicators. We find moderate correlation among traditional citation count, citations on social media, and mentions on news and blogs. Additionally, correlation coefficients are not inflated by indicators associated with zero values, which are quite common at very early stages after an article has been published. This suggests there is a common intended meaning of the citational acts associated with aforementioned indicators. Then, we define a method, i.e. the Comprehensive Impact Score (CIS), that harmonises different indicators for providing a multi-dimensional impact indicator. CIS shows promising results as a tool for selecting relevant papers even in a tight time-window. Our results foster the development of automated frameworks aimed at helping the scientific community in identifying relevant work even in case of limited literature and observation time.
      PubDate: 2021-01-03
       
  • Scientometric analysis and knowledge mapping of literature-based discovery
           (1986–2020)
    • Abstract: Abstract Literature-based discovery (LBD) aims to discover valuable latent relationships between disparate sets of literatures. This paper presents the first inclusive scientometric overview of LBD research. We utilize a comprehensive scientometric approach incorporating CiteSpace to systematically analyze the literature on LBD from the last four decades (1986–2020). After manual cleaning, we have retrieved a total of 409 documents from six bibliographic databases and two preprint servers. The 35 years’ history of LBD could be partitioned into three phases according to the published papers per year: incubation (1986–2003), developing (2004–2008), and mature phase (2009–2020). The annual production of publications follows Price’s law. The co-authorship network exhibits many subnetworks, indicating that LBD research is composed of many small and medium-sized groups with little collaboration among them. Science mapping reveals that mainstream research in LBD has shifted from baseline co-occurrence approaches to semantic-based methods at the beginning of the new millennium. In the last decade, we can observe the leaning of LBD towards modern network science ideas. In an applied sense, the LBD is increasingly used in predicting adverse drug reactions and drug repurposing. Besides theoretical considerations, the researchers have put a lot of effort into the development of Web-based LBD applications. Nowadays, LBD is becoming increasingly interdisciplinary and involves methods from information science, scientometrics, and machine learning. Unfortunately, LBD is mainly limited to the biomedical domain. The cascading citation expansion announces deep learning and explainable artificial intelligence as emerging topics in LBD. The results indicate that LBD is still growing and evolving.
      PubDate: 2021-01-03
       
  • Exploring WorldCat identities as an altmetric information source: a
           library catalog analysis experiment in the field of Scientometrics
    • Abstract: Abstract Assessing the impact of scholarly books is a difficult research evaluation problem. Library Catalog Analysis facilitates the quantitative study, at different levels, of the impact and diffusion of academic books based on data about their availability in libraries. The WorldCat global catalog collates data on library holdings, offering a range of tools including the novel WorldCat Identities. This is based on author profiles and provides indicators relating to the availability of their books in library catalogs. Here, we investigate this new tool to identify its strengths and weaknesses based on a sample of Bibliometrics and Scientometrics authors. We review the problems that this entails and compare Library Catalog Analysis indicators with Google Scholar and Web of Science citations. The results show that WorldCat Identities can be a useful tool for book impact assessment but the value of its data is undermined by the provision of massive collections of ebooks to academic libraries.
      PubDate: 2021-01-03
       
  • The contribution of CEE authors to psychological science: a comparative
           analysis of papers published in CEE and non-CEE journals indexed by Scopus
           in the period 1996—2013
    • Abstract: Abstract Psychology is one of the most productive social sciences in Central and Eastern European (CEE) countries. However, authors from CEE countries continue to publish their work in national scientific journals and limit scientific collaboration to their own national context more often than their Western colleagues. As a result, their contribution to psychological science is largely unknown to the global community. The current study analyzes trends in paper publication in CEE journals, published in CEE countries, and non-CEE psychology journals, published outside of CEE countries, in the period between 1996 and 2013, as well as differences between these two groups of papers. A total of 3846 papers published in 286 journals by CEE authors were extracted from the Scopus database and subsequently analyzed. Among all published papers, 53.2% were published in 14 CEE journals, while 46.7% of papers were published in 272 non-CEE journals. Several general findings emerged from the analyses: (1) In the period between 1996 and 2004, CEE psychologists published their papers more frequently in CEE journals; (2) after 2007, the number of scientific papers increased overall; (3) after 2011, the difference between CEE and non-CEE papers demonstrated a constant and growing trend in favor of non-CEE journals; (4) while the research topics of papers published in both groups were similar, significant differences were found in the methodology applied, where research that used advanced or complex methodology was more often published in non-CEE journals and single-author and review papers were more often published in CEE journals. The significance of these results for European cohesion processes are discussed.
      PubDate: 2021-01-03
       
  • Comparison of academic book impact from a disciplinary perspective: an
           analysis of citations and altmetric indicators
    • Abstract: Abstract Academic books are an important carrier of knowledge for scientific communication. This study aims to gain an improved understanding of academic books by jointly analyzing the altmetric and citation indicators. We explore the impact of academic books among six fields. The data set includes 666,527 records of the Book Citation Index from Web of Science in 2013–2017. Results reveal as follows. (1) The coverage of digital object identifiers and altmetric values on books was relatively low. (2) The impact of books shows evident disciplinary differences in the citation and altmetric indicators. Clinical, Pre-Clinical and Health books had the highest altmetric impact but the lowest citation impact. However, Physical Sciences books showed the opposite traits. Although books are the preferred publication format of the fields of Arts and Humanities; and Social Sciences, the performance of the book impact based on the citation and altmetric indicators was not apparent among six fields. Overall, Social Sciences have relatively better performance than Arts and Humanities. (3) The citation frequency of early publications is significantly higher than that of recent publications, whereas the altmetric attention score presented a growth trend and the cumulative effect is not evident. The clear but weak correlations between altmetric indicators and citations of books were also found. (4) The hierarchical cluster analysis of fields based on the citation and altmetric indicators revealed that the fields of Clinical, Pre-Clinical and Health; and Life Sciences showed high internal homogeneity. However, the fields of Social Sciences, Arts and Humanities are heterogeneous. This study is a constructive attempt to show the macroscopic traits of academic books. Altmetric indexes were involved in multidisciplinary comparison analysis to enhance the understanding of books.
      PubDate: 2021-01-03
       
  • An empirical review of the different variants of the probabilistic
           affinity index as applied to scientific collaboration
    • Abstract: Abstract Responsible indicators are crucial for research assessment and monitoring. Transparency and accuracy of indicators are required to make research assessment fair and ensure reproducibility. However, sometimes it is difficult to conduct or replicate studies based on indicators due to the lack of transparency in conceptualization and operationalization. In this paper, we review the different variants of the Probabilistic Affinity Index (PAI), considering both the conceptual and empirical underpinnings. We begin with a review of the historical development of the indicator and the different alternatives proposed. To demonstrate the utility of the indicator, we demonstrate the application of PAI to identifying preferred partners in scientific collaboration. A streamlined procedure is provided, to demonstrate the variations and appropriate calculations. We then compare the results of implementation for 5 specific countries involved in international scientific collaboration. Despite the different proposals on its calculation, we do not observe large differences between the PAI variants, particularly with respect to country size. As with any indicator, the selection of a particular variant is dependent on the research question. To facilitate appropriate use, we provide recommendations for the use of the indicator given specific contexts.
      PubDate: 2021-01-03
       
  • Text structuring methods based on complex network: a systematic review
    • Abstract: Abstract Currently, there is a large amount of text being shared through the Internet. These texts are available in different forms—structured, unstructured and semi structured. There are different ways of analyzing texts, but domain experts usually divide this process in some steps such as pre-processing, feature extraction and a final step that could be classification, clustering, summarization, and keyword extraction, depending on the purpose over the text. For this processing, several approaches have been proposed in the literature based on variations of methods like artificial neural network and deep learning. In this paper, we conducted a systematic review of papers dealing with the use of complex networks approaches for the process of analyzing text. The main results showed that complex network topological properties, measures and modeling can capture and identify text structures concerning different purposes such as text analysis, classification, topic and keyword extraction, and summarization. We conclude that complex network topological properties provide promising strategies with respect of processing texts, considering their different aspects and structures.
      PubDate: 2021-01-03
       
  • Webometrics: evolution of social media presence of universities
    • Abstract: Abstract This paper aims at an important task of computing the webometrics university ranking and investigating if there exists a correlation between webometrics university ranking and the rankings provided by the world prominent university rankers such as QS world university ranking, for the time period of 2005–2016. However, the webometrics portal provides the required data for the recent years only, starting from 2012, which is insufficient for such an investigation. The rest of the required data can be obtained from the internet archive. However, the existing data extraction tools are incapable of extracting the required data from internet archive, due to unusual link structure that consists of web archive link, year, date, and target links. We developed an internet archive scrapper and extract the required data, for the time period of 2012–2016. After extracting the data, the webometrics indicators were quantified, and the universities were ranked accordingly. We used correlation coefficient to identify the relationship between webometrics university ranking computed by us and the original webometrics university ranking, using the spearman and pearson correlation measures. Our findings indicate a strong correlation between ours and the webometrics university rankings, which proves that the applied methodology can be used to compute the webometrics university ranking of those years for which the ranking is not available, i.e., from 2005 to 2011. We compute the webometrics ranking of the top 30 universities of North America, Europe and Asia for the time period of 2005–2016. Our findings indicate a positive correlation for North American and European universities, but weak correlation for Asian universities. This can be explained by the fact that Asian universities did not pay much attention to their websites as compared to the North American and European universities. The overall results reveal the fact that North American and European universities are higher in rank as compared to Asian universities. To the best of our knowledge, such an investigation has been executed for the very first time by us and no recorded work resembling this has been done before.
      PubDate: 2021-01-03
       
 
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