Evidence map›Paper›PMID 40201632›Full record

ArticleJournal of clinical and translational science2025

Connecting the bibliographic-directed citation networks of translational research and implementation science.

Rose Hennessy Garza, Jane E Mahoney, Morgan Burns, Andrew Quanbeck

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2025. 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

4 authors.

Rose Hennessy GarzaJoseph J Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.ORCID https://orcid.org/0000-0002-3566-9631
Jane E MahoneyDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID https://orcid.org/0000-0002-3362-6654
Morgan BurnsDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Andrew QuanbeckDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID https://orcid.org/0000-0003-0762-4804

Funding

Promoting the implementation of clinical guidelines for opioid prescribing in primary care using systems consultationR01DA047279 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI QUANBECK, ANDREW · 2018 to 2022
$3.5M
NIDA NIH HHS R01 DA047279
6 · The paper itself

Abstract

Introduction: Translational science and implementation science are two disciplines that integrate scientific findings into practice within healthcare. One method to assess the integration of these fields is to review the academic crossover between the disciplines with respect to shared citations in the peer-reviewed literature. Methods: This paper used direct citation network analysis to identify potential conceptual gaps and connections between the literature in implementation science and translational science. Bibliographic references were downloaded from Web of Science to create directed citation network maps in VosViewer. Heat maps visualized the top cited literature in each field. Results: A literature search yielded 6,111 publications in translational science and 7,003 publications in implementation science. When all publications were combined in a directed citation network map, two separate groups of publications emerged, representing the two fields of implementation science and translational science. When the top 50 cited translational science publications were combined with implementation science publications, 14% had a 100%+ increase in citation links, 44% had a mean increase of 2.4%, and 42% shared no links. When the top 50 cited implementation science publications were combined with translational science publications, 2% had a 100%+ increase in citation links, 92% had a 3.3% mean increase, and 6% had no shared links. Conclusions: Results suggest moderate academic overlap in the way published authors cite each other between translational science and implementation science. We hope the implications of this paper may promote continued collaborations between these fields to disseminate lessons learned and bridge research into practice more efficiently.

Indexed as

bibliometricscitation network analysisCTSAImplementation sciencetranslational scienceVosViewer

Identifiers

PMID40201632
PMCPMC11975788

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.