Citescore Faqs 2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Is Sci-Hub Increasing Visibility of Indian Research Papers? an Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2
Journal of Scientometric Res. 2021; 10(1):130-134 http://www.jscires.org Perspective Paper Is Sci-Hub Increasing Visibility of Indian Research Papers? An Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2 1Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, INDIA. 2CSIR-National Institute of Science Technology and Development Studies, New Delhi, INDIA. ABSTRACT Sci-Hub, founded by Alexandra Elbakyan in 2011 in Kazakhstan has, over the years, Correspondence emerged as a very popular source for researchers to download scientific papers. It is Vivek Kumar Singh believed that Sci-Hub contains more than 76 million academic articles. However, recently Department of Computer Science, three foreign academic publishers (Elsevier, Wiley and American Chemical Society) have Banaras Hindu University, filed a lawsuit against Sci-Hub and LibGen before the Delhi High Court and prayed for Varanasi-221005, INDIA. complete blocking these websites in India. It is in this context, that this paper attempts to Email id: [email protected] find out how many Indian research papers are available in Sci-Hub and who downloads them. The citation advantage of Indian research papers available on Sci-Hub is analysed, Received: 16-03-2021 with results confirming that such an advantage do exist. Revised: 29-03-2021 Accepted: 25-04-2021 Keywords: Indian Research, Indian Science, Black Open Access, Open Access, Sci-Hub. DOI: 10.5530/jscires.10.1.16 INTRODUCTION access publishing of their research output, and at the same time encouraging their researchers to publish in openly Responsible Research and Innovation (RRI) has become one accessible forms. -
Sci-Hub Provides Access to Nearly All Scholarly Literature
Sci-Hub provides access to nearly all scholarly literature A DOI-citable version of this manuscript is available at https://doi.org/10.7287/peerj.preprints.3100. This manuscript was automatically generated from greenelab/scihub-manuscript@51678a7 on October 12, 2017. Submit feedback on the manuscript at git.io/v7feh or on the analyses at git.io/v7fvJ. Authors • Daniel S. Himmelstein 0000-0002-3012-7446 · dhimmel · dhimmel Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 • Ariel Rodriguez Romero 0000-0003-2290-4927 · arielsvn · arielswn Bidwise, Inc • Stephen Reid McLaughlin 0000-0002-9888-3168 · stevemclaugh · SteveMcLaugh School of Information, University of Texas at Austin • Bastian Greshake Tzovaras 0000-0002-9925-9623 · gedankenstuecke · gedankenstuecke Department of Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University Frankfurt • Casey S. Greene 0000-0001-8713-9213 · cgreene · GreeneScientist Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.3100v2 | CC BY 4.0 Open Access | rec: 12 Oct 2017, publ: 12 Oct 2017 Abstract The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, Sci- Hub has grown rapidly in popularity. However, until now, the extent of Sci-Hub’s coverage was unclear. As of March 2017, we find that Sci-Hub’s database contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in toll access journals. -
Open Access Availability of Scientific Publications
Analytical Support for Bibliometrics Indicators Open access availability of scientific publications Analytical Support for Bibliometrics Indicators Open access availability of scientific publications* Final Report January 2018 By: Science-Metrix Inc. 1335 Mont-Royal E. ▪ Montréal ▪ Québec ▪ Canada ▪ H2J 1Y6 1.514.495.6505 ▪ 1.800.994.4761 [email protected] ▪ www.science-metrix.com *This work was funded by the National Science Foundation’s (NSF) National Center for Science and Engineering Statistics (NCSES). Any opinions, findings, conclusions or recommendations expressed in this report do not necessarily reflect the views of NCSES or the NSF. The analysis for this research was conducted by SRI International on behalf of NSF’s NCSES under contract number NSFDACS1063289. Analytical Support for Bibliometrics Indicators Open access availability of scientific publications Contents Contents .............................................................................................................................................................. i Tables ................................................................................................................................................................. ii Figures ................................................................................................................................................................ ii Abstract ............................................................................................................................................................ -
Wos Vs. Scopus: on the Reliability of Scientometrics
WOS VS. SCOPUS: ON THE RELIABILITY OF SCIENTOMETRICS Éric Archambault* Science-Metrix, 1335A avenue du Mont-Royal E, Montréal, Québec, H2J 1Y6, Canada and Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal, Montréal (Québec), Canada. E-mail: [email protected] David Campbell Science-Metrix, 1335A avenue du Mont-Royal E, Montréal, Québec, H2J 1Y6, Canada E-mail: [email protected] Yves Gingras, Vincent Larivière Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal, Case Postale 8888, succ. Centre-Ville, Montréal (Québec), H3C 3P8, Canada. E-mail: [email protected]; [email protected] * Corresponding author Theme 6: Accuracy and reliability of data sources for scientometric studies Keywords: papers; citation; databases; web of science; scopus. Background and research question For more than 40 years, the Institute for Scientific Information (ISI, now part of Thomson-Reuters), produced the only available database making possible citation analysis, the Web of Science (WoS). Now, another company, Reed-Elsevier, has created its own bibliographic database, Scopus, available since 2002. For those who perform bibliometric analysis and comparisons of countries or institutions, the existence of these two major databases raises the important question of the comparability and stability of rankings obtained from different data sources. Although several studies have compared the WoS and Scopus for Web use [BALL and TUNGER, 2006; BAR-ILAN, 2008; BOSMAN et al., 2006; FALAGAS et al., 2008; JACSO, 2005; MEHO and YANG, 2007; NORRIS and OPPENHEIM, 2007], no study has yet compared them in the context of a bibliometric production environment. -
PUBLICATIONS and PUBLICATION POLICY (FLW, September 2016)
PUBLICATIONS AND PUBLICATION POLICY (FLW, September 2016) General ............................................................................................................................. 2 Why publish? ........................................................................................................... 2 A publication strategy .............................................................................................. 2 Publish where? ........................................................................................................ 2 Aggregation level ..................................................................................................... 3 Social impact ........................................................................................................... 3 Publication types ............................................................................................................... 3 UGent publication typology ...................................................................................... 3 Web-of-science ........................................................................................................ 4 Vabb publication typology ........................................................................................ 4 FWO publication typology ........................................................................................ 5 Relevant publication channels .......................................................................................... 6 How to choose? ...................................................................................................... -
A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development
Georgia State University ScholarWorks @ Georgia State University University Library Faculty Publications Georgia State University Library January 2004 A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh M.L.S., Ph.D. Georgia State University, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/univ_lib_facpub Part of the Library and Information Science Commons, and the Sociology Commons Recommended Citation Swygart-Hobaugh, A. J. (2004). A citation analysis of the quantitative/qualitative methods debate's reflection in sociology esearr ch: Implications for library collection development. Library Collections, Acquisitions, and Technical Services, 28, 180-95. This Article is brought to you for free and open access by the Georgia State University Library at ScholarWorks @ Georgia State University. It has been accepted for inclusion in University Library Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. A Citation Analysis of the Quantitative/Qualitative Methods Debate’s Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh Consulting Librarian for the Social Sciences Russell D. Cole Library Cornell College 600 First Street West Mt. Vernon, IA 52314-1098 [email protected] NOTICE: This is the author’s version of a work that was accepted for publication in Library Collections, Acquisitions, and Technical Services. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. -
How Frequently Are Articles in Predatory Open Access Journals Cited
publications Article How Frequently Are Articles in Predatory Open Access Journals Cited Bo-Christer Björk 1,*, Sari Kanto-Karvonen 2 and J. Tuomas Harviainen 2 1 Hanken School of Economics, P.O. Box 479, FI-00101 Helsinki, Finland 2 Department of Information Studies and Interactive Media, Tampere University, FI-33014 Tampere, Finland; Sari.Kanto@ilmarinen.fi (S.K.-K.); tuomas.harviainen@tuni.fi (J.T.H.) * Correspondence: bo-christer.bjork@hanken.fi Received: 19 February 2020; Accepted: 24 March 2020; Published: 26 March 2020 Abstract: Predatory journals are Open Access journals of highly questionable scientific quality. Such journals pretend to use peer review for quality assurance, and spam academics with requests for submissions, in order to collect author payments. In recent years predatory journals have received a lot of negative media. While much has been said about the harm that such journals cause to academic publishing in general, an overlooked aspect is how much articles in such journals are actually read and in particular cited, that is if they have any significant impact on the research in their fields. Other studies have already demonstrated that only some of the articles in predatory journals contain faulty and directly harmful results, while a lot of the articles present mediocre and poorly reported studies. We studied citation statistics over a five-year period in Google Scholar for 250 random articles published in such journals in 2014 and found an average of 2.6 citations per article, and that 56% of the articles had no citations at all. For comparison, a random sample of articles published in the approximately 25,000 peer reviewed journals included in the Scopus index had an average of 18, 1 citations in the same period with only 9% receiving no citations. -
On the Relation Between the Wos Impact Factor, the Eigenfactor, the Scimago Journal Rank, the Article Influence Score and the Journal H-Index
1 On the relation between the WoS impact factor, the Eigenfactor, the SCImago Journal Rank, the Article Influence Score and the journal h-index Ronald ROUSSEAU 1 and the STIMULATE 8 GROUP 2 1 KHBO, Dept. Industrial Sciences and Technology, Oostende, Belgium [email protected] 2Vrije Universiteit Brussel (VUB), Brussels, Belgium The STIMULATE 8 Group consists of: Anne Sylvia ACHOM (Uganda), Helen Hagos BERHE (Ethiopia), Sangeeta Namdev DHAMDHERE (India), Alicia ESGUERRA (The Philippines), Nguyen Thi Ngoc HOAN (Vietnam), John KIYAGA (Uganda), Sheldon Miti MAPONGA (Zimbabwe), Yohannis MARTÍ- LAHERA (Cuba), Kelefa Tende MWANTIMWA (Tanzania), Marlon G. OMPOC (The Philippines), A.I.M. Jakaria RAHMAN (Bangladesh), Bahiru Shifaw YIMER (Ethiopia). Abstract Four alternatives to the journal Impact Factor (IF) indicator are compared to find out their similarities. Together with the IF, the SCImago Journal Rank indicator (SJR), the EigenfactorTM score, the Article InfluenceTM score and the journal h- index of 77 journals from more than ten fields were collected. Results show that although those indicators are calculated with different methods and even use different databases, they are strongly correlated with the WoS IF and among each other. These findings corroborate results published by several colleagues and show the feasibility of using free alternatives to the Web of Science for evaluating scientific journals. Keywords: WoS impact factor, Eigenfactor, SCImago Journal Rank (SJR), Article Influence Score, journal h-index, correlations Introduction STIMULATE stands for Scientific and Technological Information Management in Universities and Libraries: an Active Training Environment. It is an international training programme in information management, supported by the Flemish Interuniversity Council (VLIR), aiming at young scientists and professionals from 2 developing countries. -
The Journal Impact Factor Denominator Defining Citable (Counted) Items
COMMENTARIES The Journal Impact Factor Denominator Defining Citable (Counted) Items Marie E. McVeigh, MS The items counted in the denominator of the impact fac- tor are identifiable in the Web of Science database by hav- Stephen J. Mann ing the index field document type set as “Article,” “Re- view,” or “Proceedings Paper” (a specialized subset of the VER ITS 30-YEAR HISTORY, THE JOURNAL IMPACT article document type). These document types identify the factor has been the subject of much discussion scholarly contribution of the journal to the literature and and debate.1 From its first release in 1975, bib- are counted as “citable items” in the denominator of the im- liometricians and library scientists discussed its pact factor. A journal accepted for coverage in the Thom- Ovalue and its vagaries. In the last decade, discussion has 6 son Reuters citation database is reviewed by experts who shifted to the way in which impact factor data are used. In consider the bibliographic and bibliometric characteristics an environment eager for objective measures of productiv- of all article types published by that journal (eg, items), which ity, relevance, and research value, the impact factor has been are covered by that journal in the context of other materi- applied broadly and indiscriminately.2,3 The impact factor als in the journal, the subject, and the database as a whole. has gone from being a measure of a journal’s citation influ- This journal-specific analysis identifies the journal sec- ence in the broader literature to a surrogate that assesses tions, subsections, or both that contain materials likely to the scholarly value of work published in that journal. -
Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science
(forthcoming in the Journal of the Association for Information Science and Technology) Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science Misha Teplitskiy Grace Lu Eamon Duede Dept. of Sociology and KnowledgeLab Computation Institute and KnowledgeLab University of Chicago KnowledgeLab University of Chicago [email protected] University of Chicago [email protected] (773) 834-4787 [email protected] (773) 834-4787 5735 South Ellis Avenue (773) 834-4787 5735 South Ellis Avenue Chicago, Illinois 60637 5735 South Ellis Avenue Chicago, Illinois 60637 Chicago, Illinois 60637 Abstract With the rise of Wikipedia as a first-stop source for scientific knowledge, it is important to compare its representation of that knowledge to that of the academic literature. Here we identify the 250 most heavi- ly used journals in each of 26 research fields (4,721 journals, 19.4M articles in total) indexed by the Scopus database, and test whether topic, academic status, and accessibility make articles from these journals more or less likely to be referenced on Wikipedia. We find that a journal’s academic status (im- pact factor) and accessibility (open access policy) both strongly increase the probability of its being ref- erenced on Wikipedia. Controlling for field and impact factor, the odds that an open access journal is referenced on the English Wikipedia are 47% higher compared to paywall journals. One of the implica- tions of this study is that a major consequence of open access policies is to significantly amplify the dif- fusion of science, through an intermediary like Wikipedia, to a broad audience. Word count: 7894 Introduction Wikipedia, one of the most visited websites in the world1, has become a destination for information of all kinds, including information about science (Heilman & West, 2015; Laurent & Vickers, 2009; Okoli, Mehdi, Mesgari, Nielsen, & Lanamäki, 2014; Spoerri, 2007). -
The Journal Ranking System Undermining the Impact of 2 Brazilian Science 3 4 Rodolfo Jaffé1 5 6 1 Instituto Tecnológico Vale, Belém-PA, Brazil
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.05.188425; this version posted July 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 QUALIS: The journal ranking system undermining the impact of 2 Brazilian science 3 4 Rodolfo Jaffé1 5 6 1 Instituto Tecnológico Vale, Belém-PA, Brazil. Email: [email protected] 7 8 Abstract 9 10 A journal ranking system called QUALIS was implemented in Brazil in 2009, intended to rank 11 graduate programs from different subject areas and promote selected national journals. Since this 12 system uses a complicated suit of criteria (differing among subject areas) to group journals into 13 discrete categories, it could potentially create incentives to publish in low-impact journals ranked 14 highly by QUALIS. Here I assess the influence of the QUALIS journal ranking system on the 15 global impact of Brazilian science. Results reveal a steeper decrease in the number of citations 16 per document since the implementation of this QUALIS system, compared to the top Latin 17 American countries publishing more scientific articles. All the subject areas making up the 18 QUALIS system showed some degree of bias, with social sciences being usually more biased 19 than natural sciences. Lastly, the decrease in the number of citations over time proved steeper in a 20 more biased area, suggesting a faster shift towards low-impact journals ranked highly by 21 QUALIS. -
Ranking Forestry Journals Using the H-Index
Ranking forestry journals using the h-index Journal of Informetrics, in press Jerome K Vanclay Southern Cross University PO Box 157, Lismore NSW 2480, Australia [email protected] Abstract An expert ranking of forestry journals was compared with journal impact factors and h -indices computed from the ISI Web of Science and internet-based data. Citations reported by Google Scholar offer an efficient way to rank all journals objectively, in a manner consistent with other indicators. This h-index exhibited a high correlation with the journal impact factor (r=0.92), but is not confined to journals selected by any particular commercial provider. A ranking of 180 forestry journals is presented, on the basis of this index. Keywords : Hirsch index, Research quality framework, Journal impact factor, journal ranking, forestry Introduction The Thomson Scientific (TS) Journal Impact Factor (JIF; Garfield, 1955) has been the dominant measure of journal impact, and is often used to rank journals and gauge relative importance, despite several recognised limitations (Hecht et al., 1998; Moed et al., 1999; van Leeuwen et al., 1999; Saha et al., 2003; Dong et al., 2005; Moed, 2005; Dellavalle et al., 2007). Other providers offer alternative journal rankings (e.g., Lim et al., 2007), but most deal with a small subset of the literature in any discipline. Hirsch’s h-index (Hirsch, 2005; van Raan, 2006; Bornmann & Daniel, 2007a) has been suggested as an alternative that is reliable, robust and easily computed (Braun et al., 2006; Chapron and Husté, 2006; Olden, 2007; Rousseau, 2007; Schubert and Glänzel, 2007; Vanclay, 2007; 2008).