Evidence map›Paper›PMID 26421238›Full record

ArticlePeerJ2015

Prediction of junior faculty success in biomedical research: comparison of metrics and effects of mentoring programs.

Christopher S von Bartheld, Ramona Houmanfar, Amber Candido

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Evaluating a Tri-Institutional Cancer Research Capacity-Building Program for Early-Stage Investigators.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  2. Article
  3. Evaluating a Research Training Program in Environmental Health and Noncommunicable Diseases in Georgia.International journal of environmental research and public health · 2025
    Article
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  13. Questioning Assumptions.CBE life sciences education · 2018
    Article
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  15. Article
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  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christopher S von BartheldDepartment of Physiology and Cell Biology, University of Nevada School of Medicine , Reno, NV , USA.
Ramona HoumanfarDepartment of Psychology, University of Nevada - Reno , Reno, NV , USA.
Amber CandidoDepartment of Psychology, University of Nevada - Reno , Reno, NV , USA.

Funding

Cell Biology of Signaling across MembranesP20GM103554 · NIGMS · UNIVERSITY OF NEVADA RENO · PI VON BARTHELD, CHRISTOPHER S · 2012 to 2016
$8.0M
NIGMS NIH HHS P20 GM103554
6 · The paper itself

Abstract

Measuring and predicting the success of junior faculty is of considerable interest to faculty, academic institutions, funding agencies and faculty development and mentoring programs. Various metrics have been proposed to evaluate and predict research success and impact, such as the h-index, and modifications of this index, but they have not been evaluated and validated side-by-side in a rigorous empirical study. Our study provides a retrospective analysis of how well bibliographic metrics and formulas (numbers of total, first- and co-authored papers in the PubMed database, numbers of papers in high-impact journals) would have predicted the success of biomedical investigators (n = 40) affiliated with the University of Nevada, Reno, prior to, and after completion of significant mentoring and research support (through funded Centers of Biomedical Research Excellence, COBREs), or lack thereof (unfunded COBREs), in 2000-2014. The h-index and similar indices had little prognostic value. Publishing as mid- or even first author in only one high-impact journal was poorly correlated with future success. Remarkably, junior investigators with >6 first-author papers within 10 years were significantly (p < 0.0001) more likely (93%) to succeed than those with ≤6 first-author papers (4%), regardless of the journal's impact factor. The benefit of COBRE-support increased the success rate of junior faculty approximately 3-fold, from 15% to 47%. Our work defines a previously neglected set of metrics that predicted the success of junior faculty with high fidelity-thus defining the pool of faculty that will benefit the most from faculty development programs such as COBREs.

Indexed as

Academic successBibliographic metricsBiomedical researchFaculty developmentFundingh-indexMentoringProgram evaluationResearch productivity

Identifiers

PMID26421238
PMCPMC4586804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.