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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. -
A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
applied sciences Article A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools Tatiana Person 1,* , Iván Ruiz-Rube 1 , José Miguel Mota 1 , Manuel Jesús Cobo 1 , Alexey Tselykh 2 and Juan Manuel Dodero 1 1 Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, Spain; [email protected] (I.R.-R.); [email protected] (J.M.M.); [email protected] (M.J.C.); [email protected] (J.M.D.) 2 Department of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia; [email protected] * Correspondence: [email protected] Abstract: Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review Citation: Person, T.; Ruiz-Rube, I.; Mota, J.M.; Cobo, M.J.; Tselykh, A.; tool focused on Computer Science, to implement evidence-based systematic review processes in Dodero, J.M. -
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 ............................................................................................................................................................ -
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. -
Recommended Practices to Promote Scholarly Data Citation and Tracking the Role of the Data Citation Index 2
Recommended practices to promote scholarly data citation and tracking The role of the Data Citation Index 2 “The Data Citation Index...aims to provide a clearer picture of the full impact of research output, as well as to act as a significant tool for data attribution and discovery.” Clarivate Analytics | Recommended practices to promote scholarly data citation and tracking 3 Introduction with publicly funded research organizations. Also, new metrics on scholarly output may provide The history of scholarly advancement is closely benefits for funding and tenure considerations. linked to data re-use. In the spheres of science, social These desirable outcomes have led groups such as science, and arts and literature, the work and ideas FORCE11 to develop principles of data citation that of early scientists and scholars have lead to new advocate data objects as unique citable entities2. and important discoveries in the eras that followed. While in times past, the passing on of scholarly data might have consisted of an inherited laboratory A New Data Tool notebook or astronomical observations, today the preservation and dissemination of data increasingly The Data Citation Index was launched in 2012 by takes place in the digital realm. As the volume of Clarivate Analytics as a part of Web of Science suite of available scholarly data continues to increase at an resources. In this index, descriptive records are created exponential rate, scholarly societies and academic, for data objects and linked to literature articles in the private, and government entities look for new ways Web of Science. As data citation practices increase, to disseminate and interpret this vast reservoir of the resource aims to provide a clearer picture of the information1. -
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). -
It's Time to Get the Facts
It’s time to get the facts Web of Science provides access to an unrivalled breadth of world class research literature linked to a rigorously selected core of journals, ensuring a unique combination of discovery through meticulously captured metadata and citation connections, coupled with guaranteed quality, impact and neutrality. 2 Web of Science | Trust the difference Web of Science analytics are Fact: Web of Science is the most the most accurate and trusted comprehensive resource — we source of research evaluation. value both quality & quantity A true citation index Web of Science is the most The Web of Science Core Collection is indisputably comprehensive resource – we the largest citation database available, with over 1 value both quality & quantity. billion cited reference connections indexed from high quality peer reviewed journals, books and proceedings. Each cited reference is meticulously We are independent and unbiased. indexed to ensure that it is searchable and attributes credit to the appropriate publication. No other resource captures and indexes cited references for FACT: Web of Science analytics are all records from 1900 to the present, or lets you the most accurate and trusted accurately and precisely search the reference content. source of research evaluation The Web of Science Core Collection serves as the backbone for our citation metrics products, providing First to market — the first web-based a standard resource that allows for the production of citation indexing resource of research reliable and trustworthy metrics that can be used for and professional journals evaluating research productivity and citation impact. Building on Dr. Eugene Garfield revolutionary • Complete citation coverage from 1900 to concept of citation indexing, we launched the the present, Web of Science Core Collection Web of Science in 1997.