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A Scientometric Analysis
Tropical Ecology 59(3): 431–443, 2018 ISSN 0564-3295 © International Society for Tropical Ecology www.tropecol.com Global research trends in ‘Ecology’: A scientometric analysis 1* 2 ANWESHA BORTHAKUR & PARDEEP SINGH 1Centre for Studies in Science Policy, Jawaharlal Nehru University (JNU), New Delhi-110067, India 2Department of Environmental Studies, PGDAV College, University of Delhi, New Delhi-110065, India Abstract: Ecological research has observed a near constant growth during the past few decades. Considering the significance and diversity of ecological research with regard to both its vastness and specificity, this paper is an attempt to map out the research activities in ‘ecology’ through a ‘scientometric analysis’ of the world research outputs. The aim was to identify and document the historical and current research trajectories in the subject. We recognize the fact that in the absence of an in-depth analysis of the trends in research, it is utterly possible that some areas of research get more than adequate attention from the global research and policy community while some equally important areas of the subject remain completely unaddressed or neglected. The study was carried out using two major databases – Scopus and SCImago for the 21 years period from 1996 to 2016 by means of a defined scientific method. Among the several interesting observations, we have found that apart from China, no countries and research institutes from the global south are listed among the top 10 research producing countries/institutes on ecology. Considering the fact that majority of the ecologically sensitive areas and biodiversity hotspots of the world are located in the developing world and have significance influences on the ecological processes across the globe, this calls for immediate attention from the research community. -
Supplementary Text and Figures
SUPPLEMENTARY TEXT John P.A. Ioannidis1, Richard Klavans2, Kevin W. Boyack2 1 Departments of Medicine, of Health Research and Policy, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University 2 SciTech Strategies, Inc. Contents Technical note on methods 1 References 7 Figures: trends over time and effects of co-authorship 8 Survey to hyperprolific authors for calendar years 2016: text of e-mail 12 Survey to hyperprolific authors for calendar year 2016: open responses 14 Request to contribute comments sent to all listed hyperprolific authors 18 Comments contributed by hyperprolific authors 20 Acknowledgments 119 Technical note on methods An author publishing the equivalent of one full paper every 5 days will end up publishing 73 papers in a calendar year. We selected this number as a threshold to define and study outlier, hyperprolific authors. Of course, published papers may reflect the final presentation of work that has happened over many years, but focusing on calendar years allows to study peaks in productivity and to use a clearly definable time unit. 1 We identified all author records in Scopus that included 73 or more published full papers in any single calendar year between 2000 and 2016. Full papers included in our analysis are the ones classified as Articles, Conference Papers and Reviews in Scopus. All other Scopus categories of published items (Editorials, Letters, Notes, Short Surveys, Errata, and so forth) were excluded. Papers take variable amounts of effort to produce. For items such as editorials, notes, letters to the editor, in theory large numbers of publications are possible to produce by authors who have a talent, proclivity or obsession for writing; such works may occasionally be very important and influential, but they take, on average, substantially less time to produce than Articles, Conference Papers and Reviews. -
Bibliometric Analysis of Document Ow on Academic Social Networks in Web of Science
Bibliometric analysis of document ow on academic social networks in Web of Science Tatyana Busygina ( [email protected] ) State Public Scientic-Technological Library of the Siberian Branch of the Russian Academy of Sciences https://orcid.org/0000-0003-0329-414X Anna Yuklyaevskaya State Public Scientic-Technological Library of the Siberian Branch of the Russian Academy of Sciences https://orcid.org/0000-0001-9837-9423 Research Article Keywords: Scientometrics, Academic social network, Web of Science, Altmetrics, Documents co-citation analysis, co-word analysis, CiteSpace Posted Date: February 3rd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-196204/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/34 Abstract Analysis of a document array on academic social networks (ASNs) in Web of Science for the period from 2005 to 2020 was carried out with use of analytical services data of the WoS and CiteSpace (the program for visualization of patterns and trends in scientic literature). The following parameters of the array were analyzed: publication dynamics; document types structure; countries, organizations and authors leading in the number of publications; thematic categories to which documents of the array are assigned; publications (journals, monographs) in which the documents of the array are published; most cited publications. An increase in the number of publications on the ASNs in WoS was established since 2005. The largest number of ASNs studies is conducted in the USA (University of Pittsburgh), UK (Wolverhampton University, Manchester University), China, Spain (University of Granada), Germany (Max Planck Society for Scientic Research), Canada, India and the Netherlands (Leiden University). -
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 ............................................................................................................................................................ -
Do Authors Comply with Mandates for Open Access?
COMMENT GOVERNANCE Make more ART Pre-Raphaelites LAB LIFE Memoir of PUBLISHING Engage more voices use of the patenting system interpreted discoveries neuroscientist and equality in the debate over Europe’s to regulate gene editing p.486 of a fecund age p.490 advocate Ben Barres p.492 open-access plan p.494 ILLUSTRATION BY SÉBASTIEN THIBAULT SÉBASTIEN BY ILLUSTRATION Do authors comply with mandates for open access? The first large-scale analysis of compliance with open-access rules reveals that rates vary greatly by funder, report Vincent Larivière and Cassidy R. Sugimoto. ast month, European research funders is open access1–4. Here, we report the first They highlight the importance to open access collectively called for research publica- large-scale analysis of compliance, focusing of enforcement, timeliness and infrastructure. tions to be made free, fully and immedi- on 12 selected funding agencies. Biblio metric And they underline the need to establish sus- Lately; so far, 14 funders have signed up. Before data are fraught with idiosyncrasies (see tainable and equitable systems as the financial that, at least 50 funders and 700 research insti- ‘Analysis methods’), but the trends are clear. burdens for science publishing shift from tutions worldwide had already mandated Of the more than 1.3 million papers we research libraries to authors’ research funds. some form of open access for the work they identified as subject to the selected funders’ support. Federally funded agencies and insti- open-access mandates, we found that some FREE FOR ALL tutions argue that taxpayers should be able two-thirds were indeed freely available to read. -
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. -
Sci-Hub Downloads Lead to More Article Citations
THE SCI-HUB EFFECT:SCI-HUB DOWNLOADS LEAD TO MORE ARTICLE CITATIONS Juan C. Correa⇤ Henry Laverde-Rojas Faculty of Business Administration Faculty of Economics University of Economics, Prague, Czechia Universidad Santo Tomás, Bogotá, Colombia [email protected] [email protected] Fernando Marmolejo-Ramos Julian Tejada Centre for Change and Complexity in Learning Departamento de Psicologia University of South Australia Universidade Federal de Sergipe [email protected] [email protected] Štepánˇ Bahník Faculty of Business Administration University of Economics, Prague, Czechia [email protected] ABSTRACT Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-hub were cited 1.72 times more than papers not downloaded from Sci-hub and that the number of downloads from Sci-hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact. Keywords Sci-hub Citations Scientific Impact Scholar Consumption Knowledge dissemination · · · · Introduction Science and its outputs are essential in daily life, as they help to understand our world and provide a basis for better decisions. Although scientific findings are often cited in social media and shared outside the scientific community [1], their primary use is what we could call “scholar consumption.” This phenomenon includes using websites that provide subscription-based access to massive databases of scientific research [2]. -
Causes for the Persistence of Impact Factor Mania
PERSPECTIVE Causes for the Persistence of Impact Factor Mania Arturo Casadevall,a Ferric C. Fangb Departments of Microbiology & Immunology and Medicine, Albert Einstein College of Medicine, Bronx, New York, USAa; Departments of Laboratory Medicine and Microbiology, University of Washington School of Medicine, Seattle, Washington, USAb ABSTRACT Numerous essays have addressed the misuse of the journal impact factor for judging the value of science, but the prac- tice continues, primarily as a result of the actions of scientists themselves. This seemingly irrational behavior is referred to as “impact factor mania.” Although the literature on the impact factor is extensive, little has been written on the underlying causes of impact factor mania. In this perspective, we consider the reasons for the persistence of impact factor mania and its pernicious effects on science. We conclude that impact factor mania persists because it confers significant benefits to individual scientists Downloaded from and journals. Impact factor mania is a variation of the economic theory known as the “tragedy of the commons,” in which scien- tists act rationally in their own self-interests despite the detrimental consequences of their actions on the overall scientific enter- prise. Various measures to reduce the influence of the impact factor are considered. IMPORTANCE Science and scientists are currently afflicted by an epidemic of mania manifested by associating the value of re- search with the journal where the work is published rather than the content of the work itself. The mania is causing profound distortions in the way science is done that are deleterious to the overall scientific enterprise. In this essay, we consider the forces responsible for the persistence of the mania and conclude that it is maintained because it disproportionately benefits elements of the scientific enterprise, including certain well-established scientists, journals, and administrative interests. -
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. -
Google Scholar, Web of Science, and Scopus
Journal of Informetrics, vol. 12, no. 4, pp. 1160-1177, 2018. https://doi.org/10.1016/J.JOI.2018.09.002 Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories Alberto Martín-Martín1 , Enrique Orduna-Malea2 , Mike 3 1 Thelwall , Emilio Delgado López-Cózar Version 1.6 March 12, 2019 Abstract Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2,299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%-96%), far ahead of Scopus (35%-77%) and WoS (27%-73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%-65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%- 38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage. -
Incites Lunedi’ 26 Ottobre 14.30-15.30 Questa Sessione Tratta Le Nozioni Basiche Di Utilizzo Di Incites
NOZIONI DI BASE InCites Lunedi’ 26 ottobre 14.30-15.30 Questa sessione tratta le nozioni basiche di utilizzo di InCites. InCites dataset: come e quando viene creato e dove CNR trovare le informazioni relative. Come esportare un set di dati da Web of Science a InCites e come visualizzare un set di papers da InCites su Web of Science. Altre possibilità di caricamento di un dataset. Come funzionano i filtri e come selezionare i vari indicatori. Come visualizzare i diversi tipi di grafici, come salvare e/o condividere un “tile”. Come esportare le tabelle, i grafici e le metriche a livello di articolo. Registrazione → LE PRINCIPALI CARATTERISTICHE DEI VARI MODULI E DEI SYSTEM REPORTS Martedi’ 27 ottobre 14.30-15.30 Questa sessione prende in considerazione le principali caratteristiche dei 6 moduli Explorer e dei due tipi di report di sistema. Le differenze tra i vari moduli e come è possibile passare da un modulo all’altro (refocus). Le unificazioni sottostanti (organizzazioni, editori, agenzie di finanziamento): limiti e caratteristiche. Le baselines, ovverosia come crearsi un proprio benchmark. La classificazione per aree geografiche NUTS. Limiti ed esempi. Le collaborazioni internazionali e con l’industria. Le analisi sull’Open Access. Registrazione → LA VALUTAZIONE DI UN PAPER, DI UN AUTORE O DI UNA ISTITUZIONE Mercoledi’ 28 ottobre 11.00-12.00 Questa sessione presenta l’utilizzo dei dati di Web of Science Core Collection per le valutazioni: il concetto di citazione (e indicatore) normalizzato, l’importanza della categorizzazione, i principali ranking internazionali, la passata e la presente VQR, i percentili, la posizione degli autori, i dati per la ASN (con ESCI) e l’analisi dei profili personali, il problema delle autocitazioni, i Web Services.