Access to Citation Data: Cost-Benefit And
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Citation Analysis for the Modern Instructor: an Integrated Review of Emerging Research
CITATION ANALYSIS FOR THE MODERN INSTRUCTOR: AN INTEGRATED REVIEW OF EMERGING RESEARCH Chris Piotrowski University of West Florida USA Abstract While online instructors may be versed in conducting e-Research (Hung, 2012; Thelwall, 2009), today’s faculty are probably less familiarized with the rapidly advancing fields of bibliometrics and informetrics. One key feature of research in these areas is Citation Analysis, a rather intricate operational feature available in modern indexes such as Web of Science, Scopus, Google Scholar, and PsycINFO. This paper reviews the recent extant research on bibliometrics within the context of citation analysis. Particular focus is on empirical studies, review essays, and critical commentaries on citation-based metrics across interdisciplinary academic areas. Research that relates to the interface between citation analysis and applications in higher education is discussed. Some of the attributes and limitations of citation operations of contemporary databases that offer citation searching or cited reference data are presented. This review concludes that: a) citation-based results can vary largely and contingent on academic discipline or specialty area, b) databases, that offer citation options, rely on idiosyncratic methods, coverage, and transparency of functions, c) despite initial concerns, research from open access journals is being cited in traditional periodicals, and d) the field of bibliometrics is rather perplex with regard to functionality and research is advancing at an exponential pace. Based on these findings, online instructors would be well served to stay abreast of developments in the field. Keywords: Bibliometrics, informetrics, citation analysis, information technology, Open resource and electronic journals INTRODUCTION In an ever increasing manner, the educational field is irreparably linked to advances in information technology (Plomp, 2013). -
Taking Mendeley As Multimedia-Based Application in Academic Writing
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universiti Teknologi Malaysia Institutional Repository Vol.6 (2016) No. 4 ISSN: 2088-5334 Taking Mendeley as Multimedia-based Application in Academic Writing Andi Anto Patak#+1, Hamimah Abu Naim#2, Rahmat Hidayat* # Measurement and Evaluation, Faculty of Education, Universiti Teknologi Malaysia, Skudai, Johor 83100, Malaysia E-mail: [email protected]; [email protected] +English Department, Faculty of Languages and Literature, Universitas Negeri Makassar, Indonesia *Department of Information Technology, Politeknik Negeri Padang, Padang, Sumatra Barat, Indonesia E-mail: [email protected] Abstract — Mendeley is one of the references managers that provide web, desktop, and mobile version. This research aims at exploring the Indonesian Mendely users’ preference on Mendeley use as multimedia-based application in academic writing. The researchers conducted survey research design to find data for deciding the obvious groups’ characteristics on certain topic or issue in a diverse group. Data on this research was taken in 2015 to explore 100 Indonesian Mendeley users’ preference on Mendeley features as web based application in academic writing. The researchers used weighted average find out rate and percentage adjusment for the influence of a binary confounder. The weighted average in this research was automatically generated by SurveyMonkey analytic. This research indicated what Mendeley features as multimedia web application for academic writing that Indonesian Mendeley users took in and out. Keywords— Mendeley; multimedia-based application; academic writing. well as search for author. Additionally, Mendeley makes I. INTRODUCTION users easy to have some documents open at once, and to Mendeley is essentially a reference manager for easily move them by dragging from one folder to dropping organizing sources [1]-[6]. -
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. -
How Can Citation Impact in Bibliometrics Be Normalized?
RESEARCH ARTICLE How can citation impact in bibliometrics be normalized? A new approach combining citing-side normalization and citation percentiles an open access journal Lutz Bornmann Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany Downloaded from http://direct.mit.edu/qss/article-pdf/1/4/1553/1871000/qss_a_00089.pdf by guest on 01 October 2021 Keywords: bibliometrics, citation analysis, citation percentiles, citing-side normalization Citation: Bornmann, L. (2020). How can citation impact in bibliometrics be normalized? A new approach ABSTRACT combining citing-side normalization and citation percentiles. Quantitative Since the 1980s, many different methods have been proposed to field-normalize citations. In this Science Studies, 1(4), 1553–1569. https://doi.org/10.1162/qss_a_00089 study, an approach is introduced that combines two previously introduced methods: citing-side DOI: normalization and citation percentiles. The advantage of combining two methods is that their https://doi.org/10.1162/qss_a_00089 advantages can be integrated in one solution. Based on citing-side normalization, each citation Received: 8 May 2020 is field weighted and, therefore, contextualized in its field. The most important advantage of Accepted: 30 July 2020 citing-side normalization is that it is not necessary to work with a specific field categorization scheme for the normalization procedure. The disadvantages of citing-side normalization—the Corresponding Author: Lutz Bornmann calculation is complex and the numbers are elusive—can be compensated for by calculating [email protected] percentiles based on weighted citations that result from citing-side normalization. On the one Handling Editor: hand, percentiles are easy to understand: They are the percentage of papers published in the Ludo Waltman same year with a lower citation impact. -
Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln September 2019 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected] C. P. Ramasesh [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Scholarly Communication Commons, and the Scholarly Publishing Commons Rama, Kodanda and Ramasesh, C. P., "Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index" (2019). Library Philosophy and Practice (e-journal). 2889. https://digitalcommons.unl.edu/libphilprac/2889 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index 1 2 Kodandarama and C.P. Ramasesh ABSTRACT: [Paper furnishes the results of the analysis of citations of research papers covered by Scopus database of Elsevier, USA. The coverage of the database is complete; citations depicted by Scopus upto June 2019 are considered. Study projects the research performance of six well established top universities in the state of Karnataka with regard the number of research papers covered by scholarly journals and number of scholars who have cited these research papers. Also projected is the average citations per research paper and h-Index of authors. Paper also projects the performance of top faculty members who are involved in contributing research papers. Collaboration with authors of foreign countries in doing research work and publishing papers are also comprehended in the study, including the trends in publishing research papers which depict the decreasing and increasing trends of research work.] INTRODUCTION: Now-a-days, there is emphasis on improving the quality of research papers on the whole. -
Don's Conference Notes
Don’s Conference Notes by Donald T. Hawkins (Freelance Conference Blogger and Editor) <[email protected]> Information Transformation: Open. Global. Plenary Sessions Collaborative: NFAIS’s 60th Anniversary Meeting Regina Joseph, founder of Sibylink (http://www.sibylink.com/) and co-founder of pytho (http://www.pytho.io/), consultancies that Column Editor’s Note: Because of space limitations, this is an specialize in decision science and information design, said that we are abridged version of my report on this conference. You can read the gatekeepers of knowledge and information. Information has never full article which includes descriptions of additional sessions at been more accessible, in demand, but simultaneously under attack. https://against-the-grain.com/2018/04/nfaiss-60th-anniversary- There is both a challenge and an opportunity in information system meeting/. — DTH availability and diversity. News outlets have become organs of influ- ence, and social networks are changing our consumption of information (for example, 26% of news retrieval is through social media). We are In 1958, G. Miles Conrad, director of Biological Abstracts, con- willingly allowing ourselves to be controlled. How will we be able to vened a meeting of representatives from 14 information services to harness the advantages of open access to information when the ability collaborate and cooperate in sharing technology and discussing issues of to access it might be compromised? We need people with multiple mutual interest. The National Federation of Abstracting and Indexing areas of specialist knowledge but who are also connected with broad (now Advanced Information) Services (NFAIS) was formed as a result and general knowledge. -
Steering Science Through Output Indicators & Data Capitalism
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Copyright, Fair Use, Scholarly Communication, etc. Libraries at University of Nebraska-Lincoln 9-2019 Steering science through Output Indicators & Data Capitalism Ulrich Herb Saarland University & State Library Follow this and additional works at: https://digitalcommons.unl.edu/scholcom Part of the Intellectual Property Law Commons, Scholarly Communication Commons, and the Scholarly Publishing Commons Herb, Ulrich, "Steering science through Output Indicators & Data Capitalism" (2019). Copyright, Fair Use, Scholarly Communication, etc.. 125. https://digitalcommons.unl.edu/scholcom/125 This Article is brought to you for free and open access by the Libraries at University of Nebraska-Lincoln at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Copyright, Fair Use, Scholarly Communication, etc. by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Steering science through Output Indicators & Data Capitalism Published in: Proceedings of the 23rd Congress of the European Society of Veterinary and Comparative Nutrition (ESVCN 2019), Turin/ Italy, 17-20 September 2019. Author: Ulrich Herb, ORCID: 0000-0002-3500-3119 Affiliations: Saarland University & State Library ./scidecode science consulting & research Please cite as: Herb, Ulrich (2019). Steering science through Output Indicators & Data Capitalism. Proceedings of the 23rd Congress of the European Society of Veterinary and Comparative Nutrition, Turin 2019. DOI:10.5281/zenodo.3333395 Performance tracking in science Since the mid-1920s, a scientist's performance was tracked by using bibliometric information such as the number of publications or their citations. Today, there are unprecedented possibilities for controlling science by analysing data on production and use of scientific information, so that citations only play a subordinate role in the evaluation of science. -
Mendeley As a Source of Readership by Students and Postdocs? Evaluating Article Usage by Academic Status
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Purdue E-Pubs Purdue University Purdue e-Pubs Proceedings of the IATUL Conferences 2014 IATUL Proceedings Jun 3rd, 12:00 AM Mendeley as a Source of Readership by Students and Postdocs? Evaluating Article Usage by Academic Status Stefanie Haustein Universite de Montreal, [email protected] Vincent Larivière Universite de Montreal, [email protected] Stefanie Haustein and Vincent Larivière, "Mendeley as a Source of Readership by Students and Postdocs? Evaluating Article Usage by Academic Status." Proceedings of the IATUL Conferences. Paper 2. https://docs.lib.purdue.edu/iatul/2014/altmetrics/2 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. MENDELEY AS A SOURCE OF GLOBAL READERSHIP BY STUDENTS AND POSTDOCS? EVALUATING ARTICLE USAGE BY ACADEMIC STATUS Stefanie Haustein École de bibliothéconomie et des sciences de l’information, Université de Montréal C.P. 6128, Succ. Centre-Ville, Montréal, QC, H3C 3J7 (Canada) [email protected] Vincent Larivière École de bibliothéconomie et des sciences de l’information, Université de Montréal C.P. 6128, Succ. Centre-Ville, Montréal, QC, H3C 3J7 (Canada) Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal CP 8888, Succ. Centre-Ville, Montréal, QC, H3C 3P8, (Canada) [email protected] Abstract This paper explores readership counts provided by the social reference manager Mendeley as a source for usage statistics for scientific papers, based on a sample of 1.2 million documents published in journals from the four disciplines Biomedical Research, Clinical Medicine, Health and Psychology. -
The Opencitations Data Model
The OpenCitations Data Model Marilena Daquino1;2[0000−0002−1113−7550], Silvio Peroni1;2[0000−0003−0530−4305], David Shotton2;3[0000−0001−5506−523X], Giovanni Colavizza4[0000−0002−9806−084X], Behnam Ghavimi5[0000−0002−4627−5371], Anne Lauscher6[0000−0001−8590−9827], Philipp Mayr5[0000−0002−6656−1658], Matteo Romanello7[0000−0002−7406−6286], and Philipp Zumstein8[0000−0002−6485−9434]? 1 Digital Humanities Advanced research Centre (/DH.arc), Department of Classical Philology and Italian Studies, University of Bologna fmarilena.daquino2,[email protected] 2 Research Centre for Open Scholarly Metadata, Department of Classical Philology and Italian Studies, University of Bologna 3 Oxford e-Research Centre, University of Oxford [email protected] 4 Institute for Logic, Language and Computation (ILLC), University of Amsterdam [email protected] 5 Department of Knowledge Technologies for the Social Sciences, GESIS - Leibniz-Institute for the Social Sciences [email protected], [email protected] 6 Data and Web Science Group, University of Mannheim [email protected] 7 cole Polytechnique Fdrale de Lausanne [email protected] 8 Mannheim University Library, University of Mannheim [email protected] Abstract. A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with differ- ent nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data sup- plier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. -
— Emerging Sources Citation Index
WEB OF SCIENCE™ CORE COLLECTION — EMERGING SOURCES CITATION INDEX THE VALUE OF COVERAGE IN INTRODUCING THE EMERGING SOURCES WEB OF SCIENCE CITATION INDEX This year, Clarivate Analytics is launching the Emerging INCREASING THE VISIBILITY OF Sources Citation Index (ESCI), which will extend the SCHOLARLY RESEARCH universe of publications in Web of Science to include With content from more than 12,700 top-tier high-quality, peer-reviewed publications of regional international and regional journals in the Science importance and in emerging scientific fields. ESCI will Citation Index Expanded™ (SCIE),the Social Sciences also make content important to funders, key opinion Citation Index® (SSCI), and the Arts & Humanities leaders, and evaluators visible in Web of Science Core Citation Index® (AHCI); more than 160,000 proceedings Collection even if it has not yet demonstrated citation in the Conference Proceedings Citation Index; and impact on an international audience. more than 68,000 books in the Book Citation Index; Journals in ESCI have passed an initial editorial Web of Science Core Collection sets the benchmark evaluation and can continue to be considered for for information on research across the sciences, social inclusion in products such as SCIE, SSCI, and AHCI, sciences, and arts and humanities. which have rigorous evaluation processes and selection Only Web of Science Core Collection indexes every paper criteria. All ESCI journals will be indexed according in the journals it covers and captures all contributing to the same data standards, including cover-to-cover institutions, no matter how many there are. To be indexing, cited reference indexing, subject category included for coverage in the flagship indexes in the assignment, and indexing all authors and addresses. -
Get Noticed Promoting Your Article for Maximum Impact Get Noticed 2 GET NOTICED
Get Noticed Promoting your article for maximum impact GET NOTICED 2 GET NOTICED More than one million scientific articles are published each year, and that number is rising. So it’s increasingly important for you to find ways to make your article stand out. While there is much that publishers and editors can do to help, as the paper’s author you are often best placed to explain why your findings are so important or novel. This brochure shows you what Elsevier does and what you can do yourself to ensure that your article gets the attention it deserves. GET NOTICED 3 1 PREPARING YOUR ARTICLE SEO Optimizing your article for search engines – Search Engine Optimization (SEO) – helps to ensure it appears higher in the results returned by search engines such as Google and Google Scholar, Elsevier’s Scirus, IEEE Xplore, Pubmed, and SciPlore.org. This helps you attract more readers, gain higher visibility in the academic community and potentially increase citations. Below are a few SEO guidelines: • Use keywords, especially in the title and abstract. • Add captions with keywords to all photographs, images, graphs and tables. • Add titles or subheadings (with keywords) to the different sections of your article. For more detailed information on how to use SEO, see our guideline: elsevier.com/earlycareer/guides GIVE your researcH THE IMpact it deserVes Thanks to advances in technology, there are many ways to move beyond publishing a flat PDF article and achieve greater impact. You can take advantage of the technologies available on ScienceDirect – Elsevier’s full-text article database – to enhance your article’s value for readers. -
Introduction to Bibliometrics
Introduction to Bibliometrics Bibliometrics A new service of the university library to support academic research Carolin Ahnert and Martin Bauschmann This work is licensed under: Creative Commons Attribution 4.0 International License. Chemnitz ∙ 16.05.17 ∙ Carolin Ahnert, Martin Bauschmann www.tu-chemnitz.de Introduction to Bibliometrics What is bibliometrics? – short definition „Bibliometrics is the statistical analysis of bibliographic data, commonly focusing on citation analysis of research outputs and publications, i.e. how many times research outputs and publications are being cited“ (University of Leeds, 2014) Quantitative analysis and visualisation of scientific research output based on publication and citation data Chemnitz ∙ 16.05.17 ∙ Carolin Ahnert, Martin Bauschmann www.tu-chemnitz.de Introduction to Bibliometrics What is bibliometrics? – a general classification descriptive bibliometrics evaluative bibliometrics Identification of relevant research topics Evaluation of research performance cognition or thematic trends (groups of researchers, institutes, Identification of key actors universities, countries) interests Exploration of cooperation patterns and Assessment of publication venues communication structures (especially journals) Interdisciplinarity Productivity → visibility → impact → Internationality quality? examined Topical cluster constructs Research fronts/ knowledge bases Social network analysis: co-author, co- Indicators: number of articles, citation methods/ citation, co-word-networks etc. rate, h-Index,