ArticleScientometrics2020
A Bibliometric Measure of Translational Science.
Article in Scientometrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Comparing the outputs of intramural and extramural grants funded by National Institutes of Health.eLife · 2026Article
- Steps toward developing an algorithm to facilitate recognition of translational science.Journal of clinical and translational science · 2026Article
- Translational science at the undergraduate level: awakening talents to overcome the valley of death - case report.The journal of venomous animals and toxins including tropical diseases · 2025Article
- Leveraging the translational science benefits model to enhance planning and evaluation of impact in CTSA hub-supported research.Frontiers in public health · 2025Article
- Exploring the connection between EU-funded research and methodological approaches: insights from a retrospective analysis.Journal of translational medicine · 2024Article
- Distinguishing between translational science and translational research in CTSA pilot studies: A collaborative project across 12 CTSA hubs.Journal of clinical and translational science · 2024Article
- Predicting substantive biomedical citations without full text.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Translational research: from basic research to regional biomedical entrepreneurship.Small business economics · 2023Article
- Translational Research in Audiology: Presence in the Literature.Audiology research · 2022Review
- Methods for identifying biomedical translation: a systematic review.American journal of translational research · 2022Review
- A large National Institute for Health Research (NIHR) Biomedical Research Centre facilitates impactful cross-disciplinary and collaborative translational research publications and research collaboration networks: a bibliometric evaluation study.Journal of translational medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Science funders are increasingly requiring evidence of the broader impacts of even basic research. Initiatives such as NIH's CTSA program are designed to shift the research focus toward more translational research. However, tracking the effectiveness of such programs depends on developing indicators that can track the degree to which basic research is influencing clinical research. We propose a new bibliometric indicator, the TS score, that is relatively simple to calculate, can be implemented at scale, is easy to replicate, and has good reliability and validity properties. This indicator is broadly applicable in settings where the goal is to estimate the degree to which basic research is used in more applied downstream research, relative to use in basic research. The TS score should be of use for a variety of policy analysis and research evaluation purposes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.