Using the H-index as a factor in the promotion of surgical faculty

Wang, Rongzhi; Lewis, Marshall; Zheng-Pywell, Rui; Julson, Janet; Smithson, Mary; Chen, Herbert

doi:10.1016/j.heliyon.2022.e09319

Cited by 16 publications

(14 citation statements)

References 31 publications

(56 reference statements)

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“…It is well-established that bibliometric indices tend to predict promotion in academic surgery 8,37–39 . The findings from our bibliometric analysis between academic ranks corroborate this observation.…”

Section: Discussionsupporting

confidence: 87%

“…It is well-established that bibliometric indices tend to predict promotion in academic surgery. 8,[37][38][39] The findings from our bibliometric analysis between academic ranks corroborate this observation. In their 2014 citation analysis of 127 academic plastic surgeons, Gast et al 8 determined that the h index-not publication count-was significantly correlated with academic promotion in a stepwise fashion from assistant to associate professor, and from associate to full professor status.…”

Section: Discussionsupporting

confidence: 81%

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Is the h-Index Enough? A Comprehensive Bibliometric Analysis of 871 Academic Plastic Surgeons and Their Departments/Divisions

Persad-Paisley,

Gopal,

Menville

et al. 2024

Ann Plast Surg

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Background In plastic surgery academia, research output is heavily used as a metric of accreditation, from assessing residency applicants to evaluating faculty for promotion. The h index, defined as an author's h papers with at least h citations, is commonly used as a measure of academic success. However, the index itself disfavors junior researchers, favors publication quantity, and discounts highly cited works. Given the importance of bibliometrics within plastic surgery, there is a paramount need to adopt additional metrics to measure research productivity. The authors sought to validate the use of time-independent bibliometrics to complement the h index in measuring citation impact. Methods The genders and academic titles of plastic surgeons affiliated with US plastic surgery programs were recorded. Author publications were retrieved from Scopus. Bibliometrics software was used to calculate the following metrics per surgeon: h index, e index, and g index. Time-adjusted versions of these indices were used to correct for the number of years since first publication. Medians and interquartile ranges (IQRs) are reported. Departmental ranks were determined using the cumulative sum of time-corrected indices and compared with Doximity departmental research rankings. P < 0.05 was deemed significant. Results Indices were calculated for 871 academic plastic surgeons in 85 departments/divisions. Men had statistically greater h index (median, 13.0 [IQR, 7.0–21.0] vs 6.0 [IQR, 3.0–13]; P < 0.001), e index (18.3 [IQR, 10.0–28.7] vs 11.1 [IQR, 5.5–18.4]; P < 0.001), and g index (23.0 [IQR, 11.0–39.0] vs 11.0 [IQR, 5.0–22.0]; P < 0.001) than women. Professors had the highest median time-uncorrected indices. After adjusting for the number of years since an author's first publication, there were no significant differences in m quotient (men: 0.66 [IQR, 0.40–0.98] vs women: 0.57 [IQR, 0.33–0.90]; P = 0.05) and ec index (men: 0.93 [IQR, 0.62–1.3] vs women: 0.87 [IQR, 0.50–1.3]; P = 0.08) between genders. Departmental chairs had significantly higher indices than other faculty after correcting for time. The calculated program rankings were low to moderately correlated with that of Doximity (correlation coefficient τ = 0.49 [95% confidence interval, 0.37–0.59; P < 0.001]). Conclusions Men and women have statistically similar citation patterns after correcting for the time. Citation differences between academic levels are less pronounced when controlling for time, suggesting comparable research quality between academic roles.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 81%

Is the h-Index Enough? A Comprehensive Bibliometric Analysis of 871 Academic Plastic Surgeons and Their Departments/Divisions

Persad-Paisley,

Gopal,

Menville

et al. 2024

Ann Plast Surg

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“…Such a pro le could include factors such as an author's citation count, journal impact factor, eindex, g-index, hc-index, and others not evaluated in our study [22]. This pro le could convey both the quantity and quality of publications [23,24], and be useful in determining faculty promotion [21,25].…”

Section: Discussionmentioning

confidence: 99%

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

Esmaeeli,

Binda,

Rendon

et al. 2023

Preprint

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Background 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 towards successful academic achievements. This study sought to determine associations between h-indices or m-quotients and manuscript publication in anesthesiology. Methods Using the American Society of Anesthesiologists (ASA) website, accepted abstracts from the ASA Annual Meetings from 2019 to 2021 were screened (n = 2146). First author (FAHi) and senior author (SAHi) h-indices as well as 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. Results 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. Conclusion 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 utilize these indices to discern research mentors primed for fostering academic excellence.

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“…Node Topology Centrality Indicator. Various centrality indicators have been proposed to measure the influence of nodes in complex networks: degree centrality (labeled as DC) [19], betweenness centrality (labeled as BC) [20], closeness centrality (labeled as CC) [21], network constraint coefficient (labeled as NCC) in structural hole theory [22], H-index (labeled as H) [23], K-core indicator (labeled as KS) [24], eigenvector centrality (labeled as EC) [25], etc. ,e research idea of designing multi-attribute evaluation metrics is to synthesize multiple node importance information for critical node discovery, so the strategy of selecting subattributes must be based on application requirements.…”

Section: Multiattribute Decision-making Method-criticmentioning

confidence: 99%

Research on the Identification of Internet Critical Nodes Based on Multilayer Network Modeling

Zhang

Yang

et al. 2022

Security and Communication Networks

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The research goal of cyberspace security situational awareness analysis is to predict the future security development of the target network by acquiring, understanding, and displaying the security elements in the large-scale network environment. Current cyberspace security situational awareness systems are mostly based on traditional single-layer network topology to analyze the security of the target network's operational posture. However, as the scale of the network continues to expand, the network structure becomes more complex, and the information fusion in multiple fields in practical applications deepens, the single-layer topology model can no longer meet the analysis requirements. In this paper, we construct a multilayer network topology model for cyberspace security situational awareness by integrating multidimensional information in the physical device layer network, business application layer network, and user role layer network. Meanwhile, to eliminate the limitations of traditional node importance indicators, a node importance assessment indicator that integrates topological centrality and node dependency factor is proposed in conjunction with model characteristics: multilayer dependency CRITIC indicator ( MDCI ). On the one hand, MDCI fits a variety of evaluation metrics through the CRITIC multi-attribute decision method to comprehensively assess the importance of nodes in network centrality, and on the other hand, MDCI better aggregates the important contributions of nodes in each network layer based on node dependency factor to coordinate multilayer network information. The experimental results show that MDCI has better ordering monotonicity and generates more stable metric sequences, and can effectively cause large-scale failures in multilayer network while destroying fewer physical device components, which can be better adapted to the critical node identification needs of multilayer network.

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Using the H-index as a factor in the promotion of surgical faculty

Cited by 16 publications

References 31 publications

Is the h-Index Enough? A Comprehensive Bibliometric Analysis of 871 Academic Plastic Surgeons and Their Departments/Divisions

Is the h-Index Enough? A Comprehensive Bibliometric Analysis of 871 Academic Plastic Surgeons and Their Departments/Divisions

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

Research on the Identification of Internet Critical Nodes Based on Multilayer Network Modeling

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