ArticleClinical and translational science2021
Practical publication metrics for academics.
Article in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- The Challenges of Scientific Publishing: An Editor-In-Chief's Perspective.Fundamental & clinical pharmacology · 2026Article
- Review
- Insights from the top-cited papers in the critical care nursing literature: A bibliometric and visualized analysis.Nursing in critical care · 2025Article
- Comparison of h-index and other bibliometrics in Google Scholar and Scopus for articles published by translational science trainees.Humanities & social sciences communications · 2025Article
- Online Visibility and Scientific Relevance of Strabismus Research: Bibliometric Analysis.Interactive journal of medical research · 2024Article
- Journal metrics of the top-ranked Orthopaedic, Medical, and Surgical journals - A cross-sectional, comparative study.International orthopaedics · 2024Article
- Article-level metrics: A new approach to quantify reach and impact of published research.Journal of orthopaedics · 2023Article
- Predicting citation impact from altmetric attention in clinical and translational research: Do big splashes lead to ripple effects?Clinical and translational science · 2022Article
- Big splashes & ripple effects: a narrative review of the short- & long-term impact of publications supported by an NIH CTSA pediatrics program.Translational pediatrics · 2022Review
- Evolving research on periodontal health of abutment teeth in removable partial dentures: A Scopus-based bibliometric analysis.Journal of Indian Society of PeriodontologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Research organizations are becoming more reliant on quantitative approaches to determine how to recruit and promote researchers, allocate funding, and evaluate the impact of prior allocations. Many of these quantitative metrics are based on research publications. Publication metrics are not only important for individual careers, but also affect the progress of science as a whole via their role in the funding award process. Understanding the origin and intended use of popular publication metrics can inform an evaluative strategy that balances the usefulness of publication metrics with the limitations of what they can convey about the productivity and quality of an author, a publication, or a journal. This paper serves as a brief introduction to citation networks like Google Scholar, Web of Science Core Collection, Scopus, Microsoft Academic, and Dimensions. It also explains two of the most popular publication metrics: the h-index and the journal impact factor. The purpose of this paper is to provide practical information on using citation networks to generate publication metrics, and to discuss ideas for contextualizing and juxtaposing metrics, in order to help researchers in translational science and other disciplines document their impact in as favorable a light as may be justified.
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.