Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 560

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Expanding underrepresented minority participation: America's science and technology talent at the crossroads

Open access
Bianchini, Julie A.·2013·Science Education

Abstract

Expanding Underrepresented Minority Participation calls for a larger and stronger science and engineering workforce in the United States.As the authors themselves note, calls to increase the number of science, technology, engineering, and mathematics (STEM) graduates have been made over the past six decades because of perceived connections between STEM workforce development and our nation's health, prosperity, and security.Expanding Underrepresented Minority Participation adds to the existing argument the idea that the science and engineering workforce must be made more diverse-that it must draw on the minds and talents of underrepresented minorities because they are both the fastest growing segment of the population and the least likely to pursue STEM degrees.The United States stands again at the crossroads: A national effort to sustain and strengthen S&E [science and engineering] must also include a strategy for ensuring that we draw on the minds and talents of all Americans, including minorities who are underrepresented in S&E and currently embody a vastly underused resource and a lost opportunity for meeting our nation's technology needs.(p. 2)

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/sce.21032

Cites

7 of 7 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

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

Show all 7 references

Cited by

See all 560

Metadata

Authors
Bianchini, J. A.
Venue
Science Education
Publisher
Wiley
Published
2012-08-07
Volume
97
Issue
1
Pages
163-166
ISSN
  • 0036-8326 (ISSN-L)
  • 1098-237X
OpenAlex
W1515735338
Cited by
560
References
7
FWCI
102.30
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Expanding underrepresented minority participation: America's science and technology talent at the crossroads. https://app.cochat.ai/papers/10.1002/sce.21032
The paper
Bianchini, J. A. (2013). Expanding underrepresented minority participation: America's science and technology talent at the crossroads. Science Education. https://doi.org/10.1002/sce.21032

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.