Evidence map›Paper›PMID 37866132›Full record

ArticleEvaluation and program planning2024

Investigating the relationship between participation in the building infrastructure leading to diversity (BUILD) initiative and intent to pursue a science career: A cross-sectional analysis.

Hector V Ramos, Krystle P Cobian, Jayashri Srinivasan, Christina A Christie, Catherine M Crespi, Teresa Seeman

Abstract read
In one paragraph

Article in Evaluation and program planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Hector V RamosDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA. Electronic address: hvramos@ucla.edu.
Krystle P CobianDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA.
Jayashri SrinivasanDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA.
Christina A ChristieSchool of Education and Information Studies, University of California, Los Angeles, USA.
Catherine M CrespiDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA.
Teresa SeemanDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA.

Funding

NIH Diversity Program Consortium Coordination and Evaluation Center at UCLAU54GM119024 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NORRIS, KEITH C, SEEMAN, TERESA E · 2015 to 2023
$38.2M
NIGMS NIH HHS U54 GM119024
6 · The paper itself

Abstract

This paper presents an analysis of survey data to examine the association between supervised structured mentoring and students' intent to pursue a career in science. Data were collected from students in the 10 Building Infrastructure Leading to Diversity (BUILD) research training programs, developed through grants from the National Institutes of Health. Propensity score matching and multinomial logistic regression demonstrated that exposure to BUILD programs-meaning participation in undergraduate research, receipt of mentoring from a primary mentor, and/or participation as a funded scholar and/or associate of each BUILD site's training program-was associated with increased intent to pursue a science career. These findings have implications for STEM program evaluation and practice in higher education.

Indexed as

MentoringMinority GroupsCross-Sectional StudiesHumansMentorsProgram EvaluationMentoringScience educationSTEMUndergraduate researchUnderrepresented groups

Identifiers

PMID37866132
PMCPMC10842371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.