Evidence map›Paper›PMID 35647498›Full record

ArticleBiophysicist (Rockville, Md.)2020

Reflections on undergraduate research mentoring.

Nicholas B Whitticar, Craig S Nunemaker

Open access · bronzeAbstract read
In one paragraph

Article in Biophysicist (Rockville, Md.), 2020. 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
1.3field-weighted citation impact, top 18% of its field
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, 6 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Nicholas B WhitticarDiabetes Institute, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH.
Craig S NunemakerDiabetes Institute, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH.
Ohio University · US

Funding

Reducing Glycolytic Activity to Restore Normal Islet Glucose Sensing in Early Type 2 DiabetesR15DK121247 · NIDDK · OHIO UNIVERSITY ATHENS · PI NUNEMAKER, CRAIG S · 2019 to 2019
$453k
NIDDK NIH HHS R15 DK121247
6 · The paper itself

Abstract

Recruiting talented high school and college students to consider a career in the biomedical or biophysical sciences is important, yet often difficult. Encouraging students in regions like Appalachia adds additional challenges due to socioeconomic hurdles and misperceptions. This brief report contains the reflections of a research mentor engaging with students as a high school physics teacher, a principal investigator at research-intensive university, and as a principal investigator at a predominantly undergraduate-focused research university, as well as the viewpoint of a former undergraduate student in the mentor's lab. Different hurdles stand in the way of success at each level. A key issue at the high school level is engaging students in 'real science', the discovery of new knowledge and ideas. With undergraduate students at a larger research institution, a key issue is for the student to have opportunities to engage in meaningful scientific research. At a smaller and more rural research institution, especially in Appalachia, many students have socioeconomic concerns and misconceptions of what scientific careers entail. Regardless of background and environment, there are certain students who thrive on the scientific curiosity to discover new things. All they need is that opportunity to engage in meaningful scientific discovery to become interested in a scientific career.

Indexed as

Appalachiabiologybiophysicsfirst generationmentormentoringresearch trainingruralundergraduate student

Identifiers

PMID35647498
PMCPMC9137253
OpenAlexW3016072092

What OpenQuestion holds

Textmetadata
LicenceTDM
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.