Evidence map›Paper›PMID 34655028›Full record

ArticleMolecular imaging and biology2022

Visions by WIMIN: BIPOC Representation Matters.

Jenny N Ijoma, Mahnue Sahn, Kyeara N Mack, Eman Akam, Kimberly J Edwards, Xiaowei Wang, Anmol Surpur, Kelly E Henry

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jenny N Ijoma *Rutgers, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Mahnue Sahn *Central Connecticut State University, New Britain, CT, USA.
Kyeara N MackMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Eman AkamHarvard Medical School, Boston, MA, USA.
Kimberly J EdwardsUniversity of Pennsylvania, Philadelphia, PA, USA.
Xiaowei WangBaker Heart and Diabetes Institute, Melbourne, Australia.
Anmol SurpurCarnegie Mellon University, Pittsburgh, PA, USA.
Kelly E HenryMemorial Sloan Kettering Cancer Center, New York, NY, USA. Kelly.henry89@gmail.com.ORCID 0000-0002-8492-9364

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Racial, ethnic, and gender representation in an academic setting means that teachers, professors, and other leaders reflect the demographics of the student body in the educational and professional spaces that they serve. This form of representation, which is often intersectional, strengthens communities and improves student outcomes, from as early as primary and secondary education, through to college education and beyond. Representation matters because it can shape the reputation and self-image of women and Black, Indigenous, and People of Color (BIPOC) within environments dominated by over-represented majorities (ORMs). From the perspective of BIPOC women trainees, the lack of BIPOC faculty who are visible minorities, particularly at the most senior level positions, often conjures questions of whether academia is a realistic career path for aspiring minority students. This article focuses on the key component of representation in the United States (U.S.), highlighting our vision for a solution for the so-called "leaky pipeline" for BIPOC in science, technology, engineering, and mathematic with action items to end it.

Indexed as

EngineeringMinority GroupsFemaleHumansUnited StatesBIPOCBlackORMRepresentationSTEMURM

Identifiers

PMID34655028
PMCPMC8519323

What OpenQuestion holds

Textmetadata
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.