Literature DB >> 31772411

Scientometrics in medical journals: Indices, their pros and cons.

Abhijit S Nair1.   

Abstract

Entities:  

Year:  2019        PMID: 31772411      PMCID: PMC6868667          DOI: 10.4103/ija.IJA_435_19

Source DB:  PubMed          Journal:  Indian J Anaesth        ISSN: 0019-5049


× No keyword cloud information.
Sir, Scientometrics is the science that deals with the evaluation of the success of a scientific article and the quantitative indicators that describe it. There are several indices that are available and used to describe the impact of an author according to the citations that the published work received, number of publications of a particular author, or the journal in which the article has been published. All indicators have certain pros and cons [Table 1]. Of all, a H-index is the most popularly used indicator.
Table 1

The commonly used scientometric indices with pros and cons with its use when used to describe the impact of a researcher who published in peer-reviewed journals

Scientometric indexPrincipleProsCons
H-indexConsiders number of papers with number of citations for each paperMost popular index.Uses a simple formula to calculateImpact of a researcher depends on a particular number of citations.
i10-indexConsiders paper with at least 10 citationsEasy to calculate.Does not consider papers with <10 citations for calculating impact.
Page-Rank indexUses PageRank algorithm. Expressed in percentileConsidered fair and robust than all other indices.Difficult to calculate.
g-indexConsiders citations in descending order.Index is according to paper with maximum citations.Easy to calculate.Takes into consideration the highest number of citations for a paper.
The commonly used scientometric indices with pros and cons with its use when used to describe the impact of a researcher who published in peer-reviewed journals The H-index was described by Jorge Hirsch in 2005, which was introduced as a bibliometric tool describing the impact of scientific contribution made by a researcher.[1] The H-index describes the impact of a researcher according to the number of citations and the number of papers that have been cited by other researchers. There are several types of H-index. H5-index is the average H-index for last 5 years. An h5-median is a median number of citations for a particular number of citations. There are certain issues with H-index. H-index depends on author's age (more the age, actively involved in research-higher the H-index) and the area of research. H-index can be low for a researcher if the number of publications is high but the citations for each paper are few. There are 2 types of citations: self-citation and independent citation. An independent citation is when an unrelated author cites the work, and a self-citation means when the author has cited his or her own work. Self-citation can add bias to the overall H-index. Google Scholar describes an index called i10 index. i10 is the index the number of publications with at least 10 citations. It is a very simple way of describing a researcher's impact by considering a minimum of 10 citations for a particular paper.[2] Senanayake et al. introduced the PageRank index, which uses PageRank algorithm to analyze the impact of papers and the impact of the citations.[3] The algorithm assigns a PageRank value for each publication. Unlike other indices, PageRank-index is expressed as percentile. g-index is another scientometric index introduced in 2006 by Leo Egghe. g-index considers the citations of a researcher's work in descending order. Unlike h-index for at least a certain number of citations are required for a paper, the g-index will be at least according to the paper with maximum citations.[4] A publication usually has several authors out of which the lead author i.e., the first author and the corresponding author are considered important in the list. When an article is cited by another article, the names of either the first 3 authors or the first 6 authors usually feature in the bibliography according to the journal guidelines. Inappropriate authorship also known as honorary, and ghost authorship leads to crediting authors who have hardly contributed in the process of developing a manuscript.[5] It has been shown that the prevalence of honorary authors is up to 40% and ghost authors is around 11%. International Committee of Medical Journal Editors (ICJME) has clearly defined authors as who contribute substantially to the conception or design of the work; is involved in data acquisition, analysis, or interpretation and drafted the work or revised it critically.[6] As authors do not follow the ICJME definitions and recommendations, ghost and honorary authors get the credit by having a better scientometric index than that of the lead or corresponding authors who give them authorship. They also enjoy other perks in the organization, in the university, and in the speciality. None of the indexes have a solution to identify and credit the authors who have made genuinely made a significant contribution to a peer-reviewed manuscript. To conclude, every scientometric index has its own advantages and limitations. An ideal index should analyze the contributions made by an author/authors according to authentic declaration made by the corresponding author. This way, the authors will get due credit for the efforts taken in manuscript preparation.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  6 in total

1.  International Committee of Medical Journal Editors (ICMJE): Uniform Requirements for Manuscripts Submitted to Biomedical Journals: writing and editing for biomedical publication.

Authors: 
Journal:  Haematologica       Date:  2004-03       Impact factor: 9.941

2.  An index to quantify an individual's scientific research output.

Authors:  J E Hirsch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-07       Impact factor: 11.205

3.  Honorary and ghost authorship in high impact biomedical journals: a cross sectional survey.

Authors:  Joseph S Wislar; Annette Flanagin; Phil B Fontanarosa; Catherine D Deangelis
Journal:  BMJ       Date:  2011-10-25

4.  The Pagerank-Index: Going beyond Citation Counts in Quantifying Scientific Impact of Researchers.

Authors:  Upul Senanayake; Mahendra Piraveenan; Albert Zomaya
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

5.  Using Google Scholar institutional level data to evaluate the quality of university research.

Authors:  John Mingers; Jesse R O'Hanley; Musbaudeen Okunola
Journal:  Scientometrics       Date:  2017-10-03       Impact factor: 3.238

Review 6.  Researcher and Author Impact Metrics: Variety, Value, and Context.

Authors:  Armen Yuri Gasparyan; Marlen Yessirkepov; Akmaral Duisenova; Vladimir I Trukhachev; Elena I Kostyukova; George D Kitas
Journal:  J Korean Med Sci       Date:  2018-04-18       Impact factor: 2.153

  6 in total
  2 in total

1.  Editorial: Non-standard Employment Relations, Job Insecurity, and Health.

Authors:  Sibel Kiran; Ingrid S Mehlum; Evangelia Nena
Journal:  Front Public Health       Date:  2022-03-30

2.  Systematic review and bibliometric analysis of African anesthesia and critical care medicine research part II: a scientometric analysis of the 116 most cited articles.

Authors:  Ulrick Sidney Kanmounye; Joel Noutakdie Tochie; Aimé Mbonda; Cynthia Kévine Wafo; Leonid Daya; Thompson Hope Atem; Arsène Daniel Nyalundja; Daniel Cheryl Eyaman
Journal:  BMC Anesthesiol       Date:  2021-01-21       Impact factor: 2.217

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.