Evidence map›Paper›PMID 34014805›Full record

ArticleGM crops & food2021

Gene editing isn't just about food: comments from U.S. focus groups.

Brandon R McFadden, Joy N Rumble, Kathryn A Stofer, Kevin M Folta, Savanna Turner, Adam Pollack

Abstract read
In one paragraph

Article in GM crops & food, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Brandon R McFaddenDepartment of Applied Economics and Statistics, University of Delaware, Newark, DE, USA.ORCID 0000-0002-5993-3070
Joy N RumbleDepartment of Agricultural Communication, Education, and Leadership, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-8632-8688
Kathryn A StoferDepartment of Agricultural Education and Communication, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-3659-490X
Kevin M FoltaHorticultural Sciences Department, University of Florida, Gainesville, FL, USA.
Savanna TurnerDepartment of Agricultural Education and Communication, University of Florida, Gainesville, FL, USA.
Adam PollackDepartment of Applied Economics and Statistics, University of Delaware, Newark, DE, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, adult public perception of genetic modification has been well documented in the domain of agriculture and food; however, recent international news on gene editing in medical applications may present new challenges for science communicators who seek to proactively share benefits of emerging gene editing technology. While research traditionally considers perceptions of agricultural and medical applications separately, gene editing may bridge the gap between the two domains. We find that when asked about thoughts regarding gene editing, adult focus groups discussed medical applications more frequently and extensively than agricultural applications. Although, when examining the length of discussion about specific topics, designer babies, cures for disease, and food were discussed at similar lengths. Understanding audiences' current perceptions of the technology is the first step in shaping strategic communication efforts to inform public opinion. A proper understanding of the benefits and risks of new technology is central to its application.

Indexed as

Gene EditingPublic OpinionAgricultureFocus GroupsFoodUnited Statesdesigner babiesdiseasefoodGenome editingscience communication

Identifiers

PMID34014805
PMCPMC9208619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.