Evidence map›Paper›PMID 35836786›Full record

ArticleJournal of clinical and translational science2022

Using bibliometrics to evaluate outcomes and influence of translational biomedical research centers.

Kristine M Bragg, Gwen C Marchand, Jonathan C Hilpert, Jeffrey L Cummings

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Smartphones and Learning: Evaluating the Focus of Recent Research.European journal of investigation in health, psychology and education · 2023
    Article
  5. Article
  6. Article
  7. 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.

Kristine M BraggDepartment of Educational Psychology and Higher Education, College of Education, University of Nevada, Las Vegas, Las Vegas, NV, USA.ORCID https://orcid.org/0000-0003-3922-9374
Gwen C MarchandDepartment of Educational Psychology and Higher Education, College of Education, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Jonathan C HilpertDepartment of Educational Psychology and Higher Education, College of Education, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Jeffrey L CummingsChambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA.

Funding

Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI JESSICA KIRKLAND CALDWELL · 2015 to 2026
$22.8M
NIGMS NIH HHS P20 GM109025
6 · The paper itself

Abstract

Introduction: Federal grant funding to support infrastructure development of translational biomedical research centers is a form of public health intervention. Establishing rigorous methods for measuring center success and outcomes is essential to justify continued funding. Methods: Bibliometric data compiled from a 5-year funding cycle of neurodegeneration and translational neuroscience research center were analyzed using the package bibliometrix for open-source software R and the NIH-developed research tool iCite. Results: The research team and their collaborators (n = 485) produced 157 grant-citing publications from 2015-2020. The science was produced by small research teams clustered around three main communities of topics: Alzheimer's Disease, brain imaging, and neuropsychological testing in the elderly. Using the relative citation ratio, the publications produced by the research team were found to be influential when compared to other R01-funded publications. Conclusion: Recent developments in bibliometric analysis expand beyond traditional measurement capabilities to better understand the characteristics, outcomes, and influences of research teams. These findings can be used to inform researchers and institutions about research team composition, productivity, and success. Measures of research influence may be used to justify return on investment to funders.

Indexed as

Alzheimer’s diseasebibliometricsCOBRENIGMSResearchscience of team sciencesocial network analysis

Identifiers

PMID35836786
PMCPMC9257775

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.