Bibliometric Analysis of SARS, MERS, and Covid-19 Studies from India with Focus on Sustainable Development Raghu Raman1,*, Ricardo Vinuesa2,*, and Prema Nedungadi3
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Medical Journals Drastically Speed up Their Publication Process for Covid-19
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.18.045963; this version posted April 18, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. Pandemic Publishing: Medical journals drastically speed up their publication process for Covid-19 Author Serge P.J.M. Horbach*,1,2 [email protected] +31243652730 ORCID: 0000-0003-0406-6261 *Corresponding author 1 Radboud University Nijmegen, Faculty of Science, Institute for Science in Society, P.O. box 9010, 6500 GL Nijmegen, The Netherlands 2 Centre for Science and Technology Studies (CWTS), Faculty of Social Sciences, Leiden University, Wassenaarseweg 62A, 2333 AL Leiden, The Netherlands Abstract In times of public crises, including the current Covid-19 pandemic, rapid dissemination of relevant scientific knowledge is of paramount importance. The duration of scholarly journals’ publication process is one of the main factors hindering quick delivery of new information. While proper editorial assessment and peer review obviously require some time, turnaround times for medical journals can be up to several months, which is undesirable in the era of a crisis. Following initiatives of medical journals and scholarly publishers to accelerate their publication process, this study assesses whether medical journals have indeed managed to speed up their publication process for Covid-19 related articles. It studies the duration of 14 medical journals’ publication process both during and prior to the current pandemic. Assessing a total of 669 articles, the study concludes that medical journals have indeed drastically accelerated the publication process for Covid-19 related articles since the outbreak of the pandemic. -
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. -
Analysis of Global Research Trends in Coronaviruses: a Bibliometric Investigation Bhaskar Mukherjee
Journal of Scientometric Res. 2020; 9(2):185-194 http://www.jscires.org Research Article Analysis of Global Research Trends in Coronaviruses: A Bibliometric Investigation Bhaskar Mukherjee Department of Library and Information Science, Banaras Hindu University, Varanasi, Uttar Pradesh, INDIA. Correspondence ABSTRACT Bhaskar Mukherjee This COVID-19 (n-CoV) belongs to a large family of viruses known as ‘Coronaviruses’ Department of Library and Information that causes respiratory and intestinal illness among animals and human beings. The Science, Banaras Hindu present study attempts to understand the trends in global research in coronavirus related diseases during the last seven decades. It thus seeks to provide an informed University, Varanasi-221005, Uttar assessment of research in this area. Major areas of research related to this disease Pradesh, INDIA. on which the research focused, were ‘acute respiratory syndrome’ and fusion and Email: [email protected] penetration process of this virus with ‘gastroenteritis virus’ and ‘mouse hepatitis virus’ (mhv). The USA and China were the most productive countries and the Received: 07-04-2020 collaborative researches work in China were largely intra-national whereas in the Revised: 24-05-2020 USA, these tended to be multinational. This paper elaborates and illustrates some Accepted: 24-08-2020 salient characteristic trends of research on coronavirus related diseases that has DOI: 10.5530/jscires.9.2.22 taken place in these two most prolific countries. Some interesting trends can be observed from citation analysis. Although on average, an article received 27.76 citations, wherein 10% of citations came only from the top 56 (0.34%) articles which suggest that only a few articles out of total articles received global attention. -
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 ............................................................................................................................................................ -
Global Scientific Research on Coronavirus : a Scientometric Study
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln September 2020 Global Scientific Research on Coronavirus : a Scientometric Study Pooja P. Dadhe [email protected] Manju N. Dubey [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Dadhe, Pooja P. and Dubey, Manju N., "Global Scientific Research on Coronavirus : a Scientometric Study" (2020). Library Philosophy and Practice (e-journal). 4277. https://digitalcommons.unl.edu/libphilprac/4277 Global Scientific Research on Coronavirus : a Scientometric Study Dr. Pooja P. Dadhe Assistant Librarian Dr. V.B. Alias Bhausaheb Kolte Knowledge Resource Centre R.T.M. Nagpur University, Nagpur, India [email protected] Dr. Manju N. Dubey Librarian R.S Mundle Dharampeth Arts and Commerce College, Nagpur, India [email protected] Abstract To understand the global research trend of the scientific publication on coronavirus, this scientometric study was carried out for the period 2002 to 2019 based on scientometric indicators such as growth of publication, productive authors and institutions, collaboration among authors and institutions, the hotspot of research area and the citation pattern. A total of 8541 records downloaded from PubMed formed the dataset for the study and were analysed using Bibexcel and VOSviewer. The findings reveal that the research on coronavirus was noticeable but it was not significant. A correlation between the number of publications and emergence of SARS in 2002 and MERS in 2012 was also visible. The trend of publication was found to be fluctuating during the period of study. The findings demonstrate that collaboration among institutions was not very strong. -
Do You Speak Open Science? Resources and Tips to Learn the Language
Do You Speak Open Science? Resources and Tips to Learn the Language. Paola Masuzzo1, 2 - ORCID: 0000-0003-3699-1195, Lennart Martens1,2 - ORCID: 0000- 0003-4277-658X Author Affiliation 1 Medical Biotechnology Center, VIB, Ghent, Belgium 2 Department of Biochemistry, Ghent University, Ghent, Belgium Abstract The internet era, large-scale computing and storage resources, mobile devices, social media, and their high uptake among different groups of people, have all deeply changed the way knowledge is created, communicated, and further deployed. These advances have enabled a radical transformation of the practice of science, which is now more open, more global and collaborative, and closer to society than ever. Open science has therefore become an increasingly important topic. Moreover, as open science is actively pursued by several high-profile funders and institutions, it has fast become a crucial matter to all researchers. However, because this widespread interest in open science has emerged relatively recently, its definition and implementation are constantly shifting and evolving, sometimes leaving researchers in doubt about how to adopt open science, and which are the best practices to follow. This article therefore aims to be a field guide for scientists who want to perform science in the open, offering resources and tips to make open science happen in the four key areas of data, code, publications and peer-review. The Rationale for Open Science: Standing on the Shoulders of Giants One of the most widely used definitions of open science originates from Michael Nielsen [1]: “Open science is the idea that scientific knowledge of all kinds should be openly shared as early as is practical in the discovery process”. -
Downloads Presented on the Abstract Page
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063578; this version posted April 28, 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 4.0 International license. A systematic examination of preprint platforms for use in the medical and biomedical sciences setting Jamie J Kirkham1*, Naomi Penfold2, Fiona Murphy3, Isabelle Boutron4, John PA Ioannidis5, Jessica K Polka2, David Moher6,7 1Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom. 2ASAPbio, San Francisco, CA, USA. 3Murphy Mitchell Consulting Ltd. 4Université de Paris, Centre of Research in Epidemiology and Statistics (CRESS), Inserm, Paris, F-75004 France. 5Meta-Research Innovation Center at Stanford (METRICS) and Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, Stanford University, Stanford, CA, USA. 6Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada. 7School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada. *Corresponding Author: Professor Jamie Kirkham Centre for Biostatistics Faculty of Biology, Medicine and Health The University of Manchester Jean McFarlane Building Oxford Road Manchester, M13 9PL, UK Email: [email protected] Tel: +44 (0)161 275 1135 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063578; this version posted April 28, 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. -
“Publish Or Perish” As Citation Metrics Used to Analyze Scientific Output In
ai-6.qxd 11/4/08 2:52 PM Page 1 VARIA – SCIENTOMETRICS Arch. Immunol. Ther. Exp., 2008, 56, 1–9 DOI 10.1007/s00005-008-0043-0 PL ISSN 0004-069X “Publish or Perish” as citation metrics used to analyze scientific output in the humanities: International case studies in economics, geography, social sciences, philosophy, and history Audrey Baneyx Institut Francilien “Recherche, Innovation et Société” (IFRIS)1, Paris, France Received: 2008.10.16, Accepted: 2008.10.27 Abstract Traditionally, the most commonly used source of bibliometric data is the Thomson ISI Web of Knowledge, in particular the (Social) Science Citation Index and the Journal Citation Reports, which provide the yearly Journal Impact Factors. This database used for the evaluation of researchers is not advantageous in the humanities, mainly because books, conference papers, and non-English journals, which are an important part of scientific activity, are not (well) covered. This paper pre- sents the use of an alternative source of data, Google Scholar, and its benefits in calculating citation metrics in the humani- ties. Because of its broader range of data sources, the use of Google Scholar generally results in more comprehensive cita- tion coverage in the humanities. This presentation compares and analyzes some international case studies with ISI Web of Knowledge and Google Scholar. The fields of economics, geography, social sciences, philosophy, and history are focused on to illustrate the differences of results between these two databases. To search for relevant publications in the Google Scholar database, the use of “Publish or Perish” and of CleanPoP, which the author developed to clean the results, are compared. -
COVID-19 Preprints and Their Publishing Rate: an Improved Method
medRxiv preprint doi: https://doi.org/10.1101/2020.09.04.20188771; this version posted September 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license . COVID-19 Preprints and Their Publishing Rate: An Improved Method Francois Lachapelle, PhD Candidate Department of Sociology, University of British Columbia Abstract Context: As the COVID-19 pandemic persists around the world, the scientific community continues to produce and circulate knowledge on the deadly disease at an unprecedented rate. During the early stage of the pandemic, preprints represented nearly 40% of all English-language COVID-19 scientific corpus (6, 000+ preprints | 16, 000+ articles). As of mid-August 2020, that proportion dropped to around 28% (13, 000+ preprints | 49, 000+ articles). Nevertheless, preprint servers remain a key engine in the efficient dissemination of scientific work on this infectious disease. But, giving the ‘uncertified’ nature of the scientific manuscripts curated on preprint repositories, their integration to the global ecosystem of scientific communication is not without creating serious tensions. This is especially the case for biomedical knowledge since the dissemination of bad science can have widespread societal consequences. Scope: In this paper, I propose a robust method that will allow the repeated monitoring and measuring of COVID-19 preprint’s publication rate. I also introduce a new API called Upload-or-Perish. It is a micro- API service that enables a client to query a specific preprint manuscript’s publication status and associated meta-data using a unique ID. -
A Bibliometric Analysis of Virology in Colombia (2000–2013)
Original Article Virology research in a Latin American developing country: a bibliometric analysis of virology in Colombia (2000–2013) Julian Ruiz-Saenz1,3, Marlen Martinez-Gutierrez1,2,3 1 Grupo de Investigación en Ciencias Animales-GRICA, Facultad de Medicina Veterinaria y Zootecnia, Universidad Cooperativa de Colombia, Bucaramanga, Colombia 2 Grupo de Investigación Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia 3 Asociación Colombiana de Virología, Bogotá, Colombia Abstract Introduction: Bibliometric analysis demonstrates that the virology research in Latin America has increased. For this reason, the objective of this study was to evaluate Colombian publications on viruses and viral diseases in indexed journals during the period from 2000 to 2013. Methodology: The bibliographic data were collected from MedLine, SciELO, LILACS and Scopus databases. The database was constructed in Excel descriptive statistics. The SCImago Journal Rank (SJR) was evaluated using the SCImago Journal & Country Rank in 2013 and was used as an indicator of the quality of the journals used by the Colombian researchers. Results: The total number of papers published was 711, of which 40.4% were published in local journals, and 59.6% were published in foreign journals. Most (89.2%) were original papers. Moreover, 34.2% of the papers were published in collaboration with international researchers, with the United States being the most represented. Of the journals used, 85.6% had an SJR, and 14.4% did not. The median SJR of the papers was 0.789, and the median of the papers with international collaborators was higher compared to the SJR of the papers without international collaboration. -
Preprints and COVID-19: Analysis of 2020 Pandemic-Related Works from a Single Institution
Preprints and COVID-19: Analysis of 2020 Pandemic-related Works from a Single Institution Medical Library, Memorial Sloan Kettering Cancer Center Konstantina Matsoukas, MLIS; Jeanine McSweeney, MLIS; Donna Gibson, MLS; Robin O’Hanlon, MIS; Marina Chilov, MLS; Johanna Goldberg, MSLIS; Lindsay Boyce, MLIS; Fig 1. Preprint Server Choice Fig 5. Links between Preprint & Journal Article Objectives 1. Preprint record links to Journal Article DOI arXiv - 3.0% The coronavirus pandemic accelerated the acceptance of preprints by Authorea - 6.1% the clinical research community, with the need to rapidly share new bioRxiv - 24.2% research findings even leading to the inclusion of COVID preprints in bioRxiv Bull World Health Organ. - 24.2% 3.0% PubMed/PMC. This occurred even though preprints are not properly chemRxiv - 3.0% medRxiv vetted, final published versions of works, but rather preliminary scientific 51.5% medRxiv - 51.5% research reports that have not yet been evaluated and certified by peer ResearchSquare - 3.0% review. To enhance our understanding of health science preprint server SSRN - 6.1% 2. PubMed Preprint record links to both posting adoption, we characterized/analyzed the 2020 research manuscripts related to COVID-19 posted to preprint servers by researchers at our institution. Fig 2. Preprint Indexing, Publication & Linking Methods 3. PMC Preprint record links to both Yes No Thirty-three preprints meeting our inclusion criteria were identified via 54.6% 45.5% Indexed targeted searching. The preprint server, PubMed/PMC, and journal in 18/33 Pubmed publisher records were consulted to verify: manuscript posting, revision, 61.3% 38.7% and publication dates; author and affiliation information; linkage to the Published as 19/31 Journal final published versions on the preprint and PubMed/PMC Articles records.