Evidence map›Paper›PMID 39655214›Full record

ArticleFrontiers in research metrics and analytics2024

An updated and expanded characterization of the biological sciences academic job market.

Brooklynn Flynn, Ariangela J Kozik, You Cheng, Ada K Hagan, Jennifer Ng, Christopher T Smith, Amanda Haage, Nafisa M Jadavji

Abstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Brooklynn FlynnCollege of Osteopathic Medicine, Midwestern University, Glendale, AZ, United States.
Ariangela J KozikDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.
You ChengDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Ada K HaganAlliance SciComm & Consulting, LLC, Russellville, TN, United States.
Jennifer NgDepartment of Educational Leadership and Policy Studies, University of Kansas, Lawrence, KS, United States.
Christopher T SmithOffice of Research and Innovation, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Amanda HaageBiomedical Sciences, University of North Dakota, Grand Forks, ND, United States.
Nafisa M JadavjiDepartment of Child Health, University of Arizona, Phoenix, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the biological sciences, many areas of uncertainty exist regarding the factors that contribute to success within the faculty job market. Earlier work from our group reported that beyond certain thresholds, academic and career metrics like the number of publications, fellowships or career transition awards, and years of experience did not separate applicants who received job offers from those who did not. Questions still exist regarding how academic and professional achievements influence job offers and if candidate demographics differentially influence outcomes. Methods: To continue addressing these gaps, we initiated surveys collecting data from faculty applicants in the biological sciences field for three hiring cycles in North America (Fall 2019 to the end of May 2022), a total of 449 respondents were included in our analysis. Results and discussion: These responses highlight the interplay between various scholarly metrics, extensive demographic information, and hiring outcomes, and for the first time, allowed us to look at persons historically excluded due to ethnicity or race (PEER) status in the context of the faculty job market. Between 2019 and 2022, we found that the number of applications submitted, position seniority, and identifying as a women or transgender were positively correlated with a faculty job offer. Applicant age, residence, first generation status, and number of postdocs, however, were negatively correlated with receiving a faculty job offer. Our data are consistent with other surveys that also highlight the influence of achievements and other factors in hiring processes. Providing baseline comparative data for job seekers can support their informed decision-making in the market and is a first step toward demystifying the faculty job market.

Indexed as

biological sciencesearly careerfaculty job marketgendergender non-conforming (GNC)peer statuspost-doctoral

Identifiers

PMID39655214
PMCPMC11625789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.