Cited by 143Career Development and DiversityHigher Education Research StudiesCritical Race Theory in Education

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Meyerhoff Scholars Program: A Strengths‐Based, Institution‐Wide Approach to Increasing Diversity in Science, Technology, Engineering, and Mathematics

Open access
Maton, Kenneth I., Pollard, Shauna A., McDougall Weise, Tatiana V., Hrabowski, Freeman A.·2012·Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine

Abstract

The Meyerhoff Scholars Program at the University of Maryland, Baltimore County is widely viewed as a national model of a program that enhances the number of underrepresented minority students who pursue science, technology, engineering, and mathematics PhDs. The current article provides an overview of the program and the institution‐wide change process that led to its development, as well as a summary of key outcome and process evaluation research findings. African American Meyerhoff students are 5× more likely than comparison students to pursue a science, technology, engineering, and mathematics PhD. Program components viewed by the students as most beneficial include financial scholarship, being a part of the Meyerhoff Program community, the Summer Bridge program, study groups, and summer research. Qualitative findings from interviews and focus groups demonstrate the importance of the Meyerhoff Program in creating a sense of belonging and a shared identity, encouraging professional development, and emphasizing the importance of academic skills. Among Meyerhoff students, several precollege and college factors have emerged as predictors of successful entrance into a PhD program in the science, technology, engineering, and mathematics fields, including precollege research excitement, precollege intrinsic math/science motivation, number of summer research experiences during college, and college grade point average. Limitations of the research to date are noted, and directions for future research are proposed. Mt Sinai J Med 79:610–623, 2012 © 2012 Mount Sinai School of Medicine

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/msj.21341

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 23 references

Research works printed but not linked: 6

  1. National Academy of Sciences.Assessment of NIH Minority Researchand Training Programs: Phase 3. Washington DC: National Academies Press; 2005.
  2. National Science Foundation,, 2011, Survey of Earned Doctorates: U.S. citizen and permanent resident doctorate recipients, by race/ethnicity and broad field of study: selected years, 1990–2010 (Table 22)
  3. Bridglall BL, Promoting Teaching and Learning: Studies of Three Undergraduate Student Academic Development Programs.
  4. Stolle‐McAllister K., 2011, The case for Summer Bridge: talented minority STEM students and the Meyerhoff Scholarship Program., Sci Educ, 20, 12
  5. Fennema E, 1976, Fennema‐Sherman mathematics attitudes scales., JSAS Catalog Select Docu Psychol, 6, 31.
  6. Williams DA, 2005, Toward a Model of Inclusive Excellence and Change in Post−Secondary Institutions.

Cited by

Sorted by citations

Items 101–142 of 142

Metadata

Authors
Maton, K. I., Pollard, S. A., McDougall Weise, T. V., & Hrabowski, F. A.
Affiliations
University of Maryland, Baltimore (US)
Venue
Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine
Publisher
Wiley
Published
2012-09
Volume
79
Issue
5
Pages
610-623
ISSN
  • 0027-2507 (ISSN-L)
  • 1931-7581
OpenAlex
W2044343289
Cited by
143
References
23
Citations by year
2026: 12 · 2025: 5 · 2024: 15 · 2023: 16 · 2022: 14 · 2021: 14 · 2020: 9 · 2019: 7 · 2018: 6 · 2017: 14 · 2016: 12 · 2015: 8 · 2014: 9 · 2013: 1 · 2012: 1
FWCI
15.71
Type
journal article
Language
en
Open access
Locations
  • Mount Sinai Journal of Medicine A Journal of Translational and Personalized Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of General Medical Sciences (R01GM075278, R25GM055036)
Topics
  • Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
  • Social Sciences › Education › Higher Education Research Studies
  • Social Sciences › Sociology and Political Science › Critical Race Theory in Education
Keywords
underrepresented minority students, African American students, institutional change, strengths-based approach, sense of belonging, professional development, summer research experience
MeSH terms
Workforce, Black or African American, Education, Graduate, Education, Medical, Engineering, Fellowships and Scholarships, Female, Humans, Male, Maryland, Mathematics, Minority Groups, School Admission Criteria, Technology, Program Evaluation, Models, Educational, Cultural Diversity, Biomedical Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review