Evidence map›Paper›PMID 29415047›Full record

ArticlePloS one2018

Does engagement predict research use? An analysis of The Conversation Annual Survey 2016.

Pauline Zardo, Adrian G Barnett, Nicolas Suzor, Tim Cahill

Abstract read
In one paragraph

Article in PloS one, 2018. 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. 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

4 authors.

Pauline ZardoFaculty of Law, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-6027-9010
Adrian G BarnettInstitute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Nicolas SuzorFaculty of Law, Queensland University of Technology, Brisbane, Queensland, Australia.
Tim CahillKPMG, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of research on the world beyond academia has increasingly become an area of focus in research performance assessments internationally. Impact assessment is expected to incentivise researchers to increase engagement with industry, government and the public more broadly. Increased engagement is in turn expected to increase translation of research so decision-makers can use research to inform development of policies, programs, practices, processes, products, and other mechanisms, through which impact can be realised. However, research has shown that various factors affect research use, and evidence on 'what works' to increase decision-makers' use of research is limited. The Conversation is an open access research communication platform, published under Creative Commons licence, which translates research into news articles to engage a general audience, aiming to improve understanding of current issues and complex social problems. To identify factors that predict use of academic research and expertise reported in The Conversation, regression analyses were performed using The Conversation Australia 2016 Annual Survey data. A broad range of factors predicted use, with engagement actions being the most common. Interestingly, different types of engagement actions predicted different types of use. This suggests that to achieve impact through increased engagement, a deeper understanding of how and why different engagement actions elicit different types of use is needed. Findings also indicate The Conversation is overcoming some of the most commonly identified barriers to the use of research: access, relevance, actionable outcomes, and timeliness. As such, The Conversation offers an effective model for providing access to and communicating research in a way that enables use, a necessary precursor to achieving research impact.

Indexed as

Cooperative BehaviorInterprofessional RelationsResearchSurveys and QuestionnairesHumans

Identifiers

PMID29415047
PMCPMC5802909

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.