# Bibliometric Indices As Indicators of Research Output: Analyzing Anesthesiologists as a Paradigm for Surgical Disciplines

**Authors:** Shooka Esmaeeli, Dhanesh D Binda, Luis F Rendon, Connor M Logan, Jacob L Leung, Hannah M Nguyen, Cara E Michael, Maxwell B Baker, Lan Xu, Ala Nozari

PMC · DOI: 10.7759/cureus.53028 · 2024-01-26

## TL;DR

This study shows that research productivity metrics like the h-index are linked to the likelihood of publishing abstracts in anesthesiology, helping trainees choose effective academic mentors.

## Contribution

The study uniquely demonstrates a direct association between bibliometric indices and manuscript publication in anesthesiology.

## Key findings

- Abstracts with higher h-indices and m-quotients were significantly more likely to be published in peer-reviewed journals.
- There was no significant link between bibliometric indices and the time between abstract presentation and publication.
- Bibliometric indices can help identify mentors who are likely to foster academic success in trainees.

## Abstract

Anesthesiology is one of the increasingly competitive surgical specialties with a growing emphasis on scholarly activity. A metric of productivity and citation influence, the Hirsch index (h-index), can help identify mentors capable of guiding postgraduate trainees toward successful academic achievements. This study sought to determine associations between h-indices or m-quotients and manuscript publication in anesthesiology. Using the American Society of Anesthesiologists (ASA) website, accepted abstracts from the ASA Annual Meetings from 2019 to 2021 were screened (n=2146). The first author (FAHi) and senior author (SAHi) h-indices, as well as the first author (FAMq) and senior author (SAMq) m-quotients, were collected for each abstract using the Scopus database. Whether an accepted abstract was subsequently published as a manuscript in a peer-reviewed journal was also noted, along with the number of days between ASA presentation and publication date. Linear and logistic regression models were used for statistical analyses. In total, 348 (34.4%) of the 1012 eligible abstracts were published as manuscripts. Mean FAHi, SAHi, FAMq, and SAMq, were significantly higher for accepted ASA abstracts that were later published in peer-reviewed journals compared to accepted abstracts that were not published (p<0.001). FAHi, SAHi, FAMq, and SAMq had significant positive associations with odds of publication (p=0.002; p<0.001; p=0.006; p<0.001, respectively). There was no statistical significance between FAHi, SAHi, FAMq, or SAMq and the number of days between ASA presentation and publication. Our study uniquely demonstrates the positive, direct association between h-indices and m-quotients with the probability of publication in anesthesiology. We propose that bibliometric indices are adapted to provide a refined perspective of a physician-scientist's capabilities. Postgraduate trainees can use these indices to discern research mentors primed to foster academic excellence.

## Full-text entities

- **Diseases:** cancer (MESH:D009369), coronavirus (MESH:D018352), COVID-19 (MESH:D000086382), pulmonary complications (MESH:D008171), ASA (MESH:C000719191), Chronic and Cancer Pain (MESH:D000072716)
- **Chemicals:** FAHi (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC10895319/full.md

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Source: https://tomesphere.com/paper/PMC10895319