Evidence map›Paper›PMID 36968482›Full record

ReviewFrontiers in neuroscience2023

Lifting as we climb: Experiences and recommendations from women in neural engineering.

Maria K Jantz, Jennifer Mak, Ashley N Dalrymple, Juhi Farooqui, Erinn M Grigsby, Angelica J Herrera, Elvira Pirondini, Jennifer L Collinger

Full text readReview
In one paragraph

Review in Frontiers in neuroscience, 2023. 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.

Maria K JantzRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Jennifer MakRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Ashley N DalrympleRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Juhi FarooquiRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Erinn M GrigsbyRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Angelica J HerreraRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Elvira PirondiniRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.
Jennifer L CollingerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural engineering is an emerging and multidisciplinary field in which engineering approaches are applied to neuroscience problems. Women are underrepresented in engineering fields, and indeed in science, technology, engineering, and mathematics (STEM) fields generally. Underrepresentation of women is particularly notable at later academic career stages, suggesting that even though women are interested in the field, barriers exist that ultimately cause them to leave. Here, we investigate many of the obstacles to women's success in the field of neural engineering and provide recommendations and materials to overcome them. We conducted a review of the literature from the past 15 years regarding the experiences of women in academic careers, as well as reports on the number of women in fields closely related to neural engineering from the National Science Foundation (NSF) and the American Society for Engineering Education (ASEE). Additionally, we interviewed six women in neural engineering who are involved in initiatives and outreach concerning the inclusion and experiences of women in engineering. Throughout the literature and interviews, we identified common themes spanning the role of identity and confidence, professional relationships, career-related hurdles, and personal and professional expectations. We explore each of these themes in detail and provide resources to support the growth of women as they climb within the field of neural engineering.

Indexed as

academiaacademic careersbiasequitygender representationinclusion and diversityneural engineeringSTEM

Identifiers

PMID36968482
PMCPMC10033556

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read3
measurements read44
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.