Scientometrics: Tools, Techniques and Software for Analysis
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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. -
Scientometrics1
Scientometrics1 Loet Leydesdorff a and Staša Milojević b a Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands; [email protected] b School of Informatics and Computing, Indiana University, Bloomington 47405-1901, United States; [email protected]. Abstract The paper provides an overview of the field of scientometrics, that is: the study of science, technology, and innovation from a quantitative perspective. We cover major historical milestones in the development of this specialism from the 1960s to today and discuss its relationship with the sociology of scientific knowledge, the library and information sciences, and science policy issues such as indicator development. The disciplinary organization of scientometrics is analyzed both conceptually and empirically. A state-of-the-art review of five major research threads is provided. Keywords: scientometrics, bibliometrics, citation, indicator, impact, library, science policy, research management, sociology of science, science studies, mapping, visualization Cross References: Communication: Electronic Networks and Publications; History of Science; Libraries; Networks, Social; Merton, Robert K.; Peer Review and Quality Control; Science and Technology, Social Study of: Computers and Information Technology; Science and Technology Studies: Experts and Expertise; Social network algorithms and software; Statistical Models for Social Networks, Overview; 1 Forthcoming in: Micheal Lynch (Editor), International -
Machine Learning in Scientometrics
DEPARTAMENTO DE INTELIGENCIA ARTIFICIAL Escuela Tecnica´ Superior de Ingenieros Informaticos´ Universidad Politecnica´ de Madrid PhD THESIS Machine Learning in Scientometrics Author Alfonso Iba´nez˜ MS Computer Science MS Artificial Intelligence PhD supervisors Concha Bielza PhD Computer Science Pedro Larranaga˜ PhD Computer Science 2015 Thesis Committee President: C´esarHerv´as Member: Jos´eRam´onDorronsoro Member: Enrique Herrera Member: Irene Rodr´ıguez Secretary: Florian Leitner There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Acknowledgements Ph.D. research often appears a solitary undertaking. However, it is impossible to maintain the degree of focus and dedication required for its completion without the help and support of many people. It has been a difficult long journey to finish my Ph.D. research and it is of justice to cite here all of them. First and foremost, I would like to thank Concha Bielza and Pedro Larra~nagafor being my supervisors and mentors. Without your unfailing support, recommendations and patient, this thesis would not have been the same. You have been role models who not only guided my research but also demonstrated your enthusiastic research attitudes. I owe you so much. Whatever research path I do take, I will be prepared because of you. I would also like to express my thanks to all my friends and colleagues at the Computa- tional Intelligence Group who provided me with not only an excellent working atmosphere and stimulating discussions but also friendships, care and assistance when I needed. My special thank-you goes to Rub´enArma~nanzas,Roberto Santana, Diego Vidaurre, Hanen Borchani, Pedro L. -
Scientometrics: the Project for a Science of Science Transformed Into an Industry of Measurements
scientiæ zudia, São Paulo, v. 12, special issue, p. 147-59, 2014 Scientometrics: the project for a science of science transformed into an industry of measurements Renato Rodrigues Kinouchi abstract This paper discusses the intellectual justification of scientometrics through the claim that it is part of the quest for a quantitative science of science. Initially, I will make a brief description of scientometrics’ his- torical background. Next, I will explain that those disciplines that have been satisfactorily mathematized always contain two distinct basic components: an axiomatic, defining the operations that can be realized with the available data, and an interpretation of their meaning. Counting papers and citations is a way to collect statistical data about scientific activities, and therefore the axiomatic basis of scientometrics comes from statistics. Regarding the interpretation of scientometrics, I will argue that the meanings attributed to their key concepts are usually borrowed from economics. Then I discuss how the promise of a science of science becomes a too well adjusted historical narrative that apparently justifies the economic con- cerns of governments and private corporations. Keywords ● Scientometrics. Citation analysis. Quantitative methods. Commoditization. The significance of science and technology for economic development is currently taken for granted as an indisputable premise of any science policy. A wide range of authors from the nineteenth century already had emphasized the connections between sci- ence, technology, -
Mapping of the Research Output on 'Wireless
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln September 2019 MAPPING OF THE RESEARCH OUTPUT ON ‘WIRELESS COMMUNICATION (2010 - 2018)’: A WEB OF SCIENCE BASED SCIENTOMETRIC EVALUATION PADMA P (Dr.) MADURAI KAMARAJ UNIVERSITY, MADURAI, TAMILNADU, INDIA RAMASAMY K (Dr.) M V MUTHIAH GOVERNMENT ARTS COLLEGE FOR WOMEN,DINDIGUL,TAMILNADU,INDIA, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons P, PADMA (Dr.) and K (Dr.), RAMASAMY, "MAPPING OF THE RESEARCH OUTPUT ON ‘WIRELESS COMMUNICATION (2010 - 2018)’: A WEB OF SCIENCE BASED SCIENTOMETRIC EVALUATION" (2019). Library Philosophy and Practice (e- journal). 2899. https://digitalcommons.unl.edu/libphilprac/2899 MAPPING OF THE RESEARCH OUTPUT ON ‘WIRELESS COMMUNICATION (2010 - 2018)’: A WEB OF SCIENCE BASED SCIENTOMETRIC EVALUATION Padma, P (Dr.) Assistant Professor, Department of Library and Information Science, Madurai Kamaraj University, Madurai. Tamilnadu, India. Email: [email protected] Ramasamy, K (Dr.) College Librarian, M V Muthiah Government Arts College for Women, Dindigul, Dindigul District Tamilnadu, India. Email: [email protected] ------------------------------------------------------------------------------------------------ Abstract The present study aimed at examining the quantitative and qualitative aspects of literature output on Wireless Communication as available and indexed in Web of Science database covering a nine year period i.e from 2010 to 2018. A total of 8482 records were downloaded from Web of Science core collection database. The downloaded records, in txt format, were exported to Bibexcel software for analyzing the data for certain quantitative and qualitative indicators. MS Excel programme was used to do all the necessary calculations and preparation of cross tables with Pivot Table options. -
Bibliometric Study of Indian Open Access Social Science Literature Deep Kumar Kirtania [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2018 Bibliometric Study of Indian Open Access Social Science Literature Deep Kumar Kirtania [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons Kirtania, Deep Kumar, "Bibliometric Study of Indian Open Access Social Science Literature" (2018). Library Philosophy and Practice (e-journal). 1867. http://digitalcommons.unl.edu/libphilprac/1867 Bibliometric Study of Indian Open Access Social Science Literature Deep Kumar Kirtania Library Trainee, West Bengal Secretariat Library & M.Phil Scholar, Department of Library & Information Science University of Calcutta [email protected] Abstract: the purpose of this study is to trace out the growth and development social science literature in open access environment published from India. Total 1195 open access papers published and indexed in Scopus database in ten years have considered for the present study. Research publication from 2008 to 2017 have been analyzed based on literature growth, authorship pattern, activity index, prolific authors and institutions, publication type, channel and citation count have examined to provide a clear picture of Indian social science research. The study shows the dominance of shared authorship and sixty percentages of total articles have been cited. This original research paper described the research productivity of social science in open access context and will be helpful to the social scientist and library professional as a whole. Key Words: Bibliometric study, Research Growth, Social Sciences, Open Access, Scopus, India Introduction: Scholarly communications have been the primary source of creating and sharing knowledge by academics and researchers from the mid 1600s (Chan, Gray & Kahn, 2012). -
1 Scientometric Indicators and Their Exploitation by Journal Publishers
Scientometric indicators and their exploitation by journal publishers Name: Pranay Parsuram Student number: 2240564 Course: Master’s Thesis (Book and Digital Media Studies) Supervisor: Prof. Fleur Praal Second reader: Dr. Adriaan van der Weel Date of completion: 12 July 2019 Word count: 18177 words 1 Contents 1. Introduction ............................................................................................................................ 3 2. Scientometric Indicators ........................................................................................................ 8 2.1. Journal Impact Factor ...................................................................................................... 8 2.2. h-Index .......................................................................................................................... 10 2.3. Eigenfactor™ ................................................................................................................ 11 2.4. SCImago Journal Rank.................................................................................................. 13 2.5. Source Normalized Impact Per Paper ........................................................................... 14 2.6. CiteScore ....................................................................................................................... 15 2.6. General Limitations of Citation Count .......................................................................... 16 3. Conceptual Framework ....................................................................................................... -
A Complete Bibliography of Publications in Scientometrics: 1980–1989
A Complete Bibliography of Publications in Scientometrics: 1980{1989 Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 14 October 2017 Version 1.01 Title word cross-reference 20 [Gup89]. 80 [Gup89]. (R) [SS85]. R(r)=a:r − b [Sen89b]. -Rule [Gup89]. / [Gup89]. 1870AD [She80]. 18th [She82]. 1970s [SG86]. 1984 [Ano85b, Mor85a]. 1985 [Ano87a]. 1986 [Ano87b]. 1987 [Ano88b, Ano89b, Gra89a, Van88]. 1988 [Ano89a, Van89a]. 19th [She82]. 80/20 [Egg86]. A. [BIM+87]. A.D. [Sim80]. academic [CGH+88, Kea91, Le 80, LM85, Yan82, vHvVLD83]. accept [BGS89a]. 1 2 acceptance [Gor80]. accounts [Hur81]. achievements [Her88, Kea91]. acidification [LBCW88]. Acquired [SFL89]. acrobats [Nal87]. across [Hop84]. activities [FD86, Hai83, Hai86a, Hai86b, Pav85, Pav88]. activity [BJ81, BD87, Fra80, MGFA87, PABK88, Sim80, Vin88c, Yut86]. adaptation [Kre87]. adaptive [De 87]. additivity [Hai86a, Hai86b]. Address [Mor85a]. adequate [AM89]. adjusting [Lin82, LM82b, LM82a]. advantage [Law87]. Advisory [Ano82a]. Africa [Dav83, Pou89]. against [Hai88, Kun88a]. age [Han89, Ove88, VD87a, VD87b]. ages [HG85]. aging [Ave85, Chr85, Gie81, MT89, Mot89]. Agricultural [Bal85a, Bal85b, Bal85c, Mor87a, Pou89]. aid [CF82]. AIDS [SFL89, Coh84]. alcohol [SK86]. alive [Fra84a]. Allocation [JKW87]. along [KPV86]. Alphonse [Sza85]. America [KPV86]. American [FP88, FKM81, Oro81, Oro85, Ric84]. among [Alo85, Coz85, FP88, Har86, Moe89, Ric84]. analysed [VP89]. Analysis [NG86, SK89, Yan82, Ada81, Ave80, BCC89, BJ81, CC82, CG80, Cou89, CIM86, Dav83, De 87, DT85, FHNR81, Gar85, GR88, GG88, HS89, Hai82a, Hai86a, Hai86b, Hje82, Lan85, LBCW88, LKO80, Lev86, Mal89, MC85, MT89, Mid83, MBFV85b, Mor86b, Okr87, Oro81, Raj83, SZB83, SZTB84, Sha89, Sha87, SHC89, SMKG86, Sim80, Sim86b, SG80, SBN84, SKWK80, TDV87, Tro87, Yan81, Zuc87, de 81a, de 81b]. -
Citeseerx: 20 Years of Service to Scholarly Big Data
CiteSeerX: 20 Years of Service to Scholarly Big Data Jian Wu Kunho Kim C. Lee Giles Old Dominion University Pennsylvania State University Pennsylvania State University Norfolk, VA University Park, PA University Park, PA [email protected] [email protected] [email protected] ABSTRACT access to a growing number of researchers. Mass digitization par- We overview CiteSeerX, the pioneer digital library search engine, tially solved the problem by storing document collections in digital that has been serving academic communities for more than 20 years repositories. The advent of modern information retrieval methods (first released in 1998), from three perspectives. The system per- significantly expedited the process of relevant search. However, spective summarizes its architecture evolution in three phases over documents are still saved individually by many users. In 1997, three the past 20 years. The data perspective describes how CiteSeerX computer scientists at the NEC Research Institute (now NEC Labs), has created searchable scholarly big datasets and made them freely New Jersey, United States – Steven Lawrence, Kurt Bollacker, and available for multiple purposes. In order to be scalable and effective, C. Lee Giles, conceived an idea to create a network of computer AI technologies are employed in all essential modules. To effectively science research papers through citations, which was to be imple- train these models, a sufficient amount of data has been labeled, mented by a search engine, the prototype CiteSeer. Their intuitive which can then be reused for training future models. Finally, we idea, automated citation indexing [8], changed the way researchers discuss the future of CiteSeerX. -
Introduction to Scientometrics
INTRODUCTION TO SCIENTOMETRICS Farzaneh Aminpour, PhD. [email protected] Ministry of Health and Medical Education Workshop Objectives Scientometrics: Basics Citation Databases Scientometrics Indices H-index, M-index, G-index Journal Impact Factor Journal Citation Reports CiteScore, SNIP, SJR Researcher Profiles Services Scientometric Reports 2 Definition • Scientometrics is the study of measuring and analyzing science, technology and innovation. • Scientometrics is the measurement of scientific output, and the impact of scientific findings. History Modern Scientometrics is mostly based on the work of Eugene Garfield creator and founder of the Science Citation Index and the Institute for Scientific Information (ISI) which is heavily used for scientometric analysis. Leydesdorff, L. and Milojevic, S., "Scientometrics" in: Lynch, M. (editor), International Encyclopedia of Social and Behavioral Sciences subsection 85030. (2015) Scientometrics Variables • Authors • Publications • References • Citations Importance & Applications Grant / Funding Allocations Benchmarking Research Priorities Scientific Collaboration Models Research Ranking Policy Decisions Science Mapping Academic Promotion Collection management Levels of Study • Microlevel Individuals, Groups • Mesolevel Universities, Institutions, Journals • Macrolevel National, Regional, Global Citation Databases • ISI Web of Science • Scopus • Google Scholar ISI WoS Content Coverage • 12,000 journals • 160,000 conference proceedings • Coverage dating back to 1900 • More -
OECD Compendium of Bibliometric Science Indicators
Compendium of Bibliometric Science Indicators COMPENDIUM OF BIBLIOMETRIC SCIENCE INDICATORS NOTE FROM THE SECRETARIAT This document contains the final version of the OECD Compendium of Bibliometric Science Indicators. The report brings together a new collection of statistics depicting recent trends and the structure of scientific production across OECD countries and other major economies that supports indicators contained in the 2015 OECD Science, Technology and Industry Scoreboard. This report was prepared in partnership between the OECD Directorate for Science, Technology and Innovation (DSTI) and the SCImago Research Group (CSIC, Spain). It was presented to the Committee for Scientific and Technological Policy (CSTP) and National Experts in Science and Technology Indicators (NESTI) delegates for comment and approval. This paper was approved and declassified by written procedure by the Committee for Scientific and Technological Policy (CSTP) in May 2016 and prepared for publication by the OECD Secretariat. Note to Delegations: This document is also available on OLIS under the reference code: DSTI/EAS/STP/NESTI(2016)8/FINAL This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities or third party. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. Please cite this publication as: OECD and SCImago Research Group (CSIC) (2016), Compendium of Bibliometric Science Indicators. -
Scientometrics Journal Metrics 2017
Scientometrics Journal Metrics 2017 Speed Days from submission to first decision – 2017 47 Number of days from submission of the manuscript to first decision. Days from acceptance to online publication – 2017 13 Number of days from acceptance at publisher to published online. Usage Downloads – 2017 688,649 Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards. Usage Factor – 2016/2017 406 The Springer Journal Usage Factor 2016/17 was calculated as suggested by the COUNTER Code of Practice for Usage Factors. It is the median value of the number of downloads in 2016/17 for all articles published online in that particular journal during the same time period. The Usage Factor calculation is based on COUNTER-compliant usage data on the SpringerLink platform. (Counting Online Usage of NeTworked Electronic Resources) standards. Journal Metrics Impact Impact Factor – 2016 2.147 Journal Impact Factors are published each summer by Thomson Reuters via Journal Citation Reports®. Impact Factors and ranking data are presented for the preceding calendar year. 5 Year Impact Factor – 2016 2.346 The 5-year journal Impact Factor is the average number of times articles from the journal published in the past five years that have been cited in the JCR year. It is calculated by dividing the number of citations in the JCR year by the total number of articles published in the five previous years. SNIP – 2016 1.319 Source Normalized Impact per Paper (SNIP) measures contextual citation impact by weighting citations based on the total number of citations in a subject field.