Measuring academic performance for healthcare researchers with the H index: which search tool should be used?

Vanash M Patel, Hutan Ashrafian, Alex Almoudaris, Jonathan Makanjuola, Chiara Bucciarelli-Ducci, Ara Darzi, Thanos Athanasiou

Research output: Contribution to journalArticle (Academic Journal)peer-review

36 Citations (Scopus)

Abstract

OBJECTIVES: To compare H index scores for healthcare researchers returned by Google Scholar, Web of Science and Scopus databases, and to assess whether a researcher's age, country of institutional affiliation and physician status influences calculations.

SUBJECTS AND METHODS: One hundred and ninety-five Nobel laureates in Physiology and Medicine from 1901 to 2009 were considered. Year of first and last publications, total publications and citation counts, and the H index for each laureate were calculated from each database. Cronbach's alpha statistics was used to measure the reliability of H index scores between the databases. Laureate characteristic influence on the H index was analysed using linear regression.

RESULTS: There was no concordance between the databases when considering the number of publications and citations count per laureate. The H index was the most reliably calculated bibliometric across the three databases (Cronbach's alpha = 0.900). All databases returned significantly higher H index scores for younger laureates (p < 0.0001). Google Scholar and Web of Science returned significantly higher H index for physician laureates (p = 0.025 and p = 0.029, respectively). Country of institutional affiliation did not influence the H index in any database.

CONCLUSION: The H index appeared to be the most consistently calculated bibliometric between the databases for Nobel laureates in Physiology and Medicine. Researcher-specific characteristics constituted an important component of objective research assessment. The findings of this study call to question the choice of current and future academic performance databases.

Original languageEnglish
Pages (from-to)178-83
Number of pages6
JournalMedical Principles and Practice
Volume22
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • Adult
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Bibliometrics
  • Biomedical Research
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Nobel Prize
  • Publishing
  • Reproducibility of Results

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