ArticleCurrent urology2017
"Researching the Research" in Prostate Cancer: A Comparative Bibliometric Analysis of the Top 100 Cited Articles in the Field of Prostate Cancer.
Article in Current urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Mapping the landscape of rural cancer research: a global bibliometric analysis.Cancer causes & control : CCC · 2025Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo perform the first comparative bibliometric analysis of the "Top 100 (T100) cited articles in prostate cancer (PCa)". MATERIALS AND
methodsA comprehensive search using the Web of Science Database (v 5.21) covering the Web of Science™ Core Collection, BIOSIS Previews, Central Contents Connect, KCI-Korean Journal Database, MEDLINE, SciELO Index (February 2016) was performed, for all articles relevant to PCa.
resultsThe T100 were cited 582 to 3,387 times, and were published from 1966 to 2012. The top 3 subcategories associated with PCa included: genetics/biomarkers (n = 34), management (n = 25), and physiology (n = 11). T100 contributions from USA (n = 86), were most prominent. If the regional citation was corrected for percentage on research (citation record/percentage gross domestic product on research) a variation in the ranking was noted.
conclusionThe first bibliometric analysis in the field of PCa is presented. Regions that predominate the T100, include the United States and Europe. Articles published in higher impact factor journals, in English medium and content related to PCa research associated with genetics/bio-markers have the highest citation potential.
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.