ArticleThe Journal of surgical research2020
Differences in Highly-Cited and Lowly-Cited Manuscripts in Plastic Surgery.
Article in The Journal of surgical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- 100 most-cited publications in vascularized composite allotransplantation.Frontiers in transplantation · 2026Review
- The 50 most cited articles and science mapping analysis of vaginal tightening.International urogynecology journal · 2023Article
- Bibliometric analysis of 100 top cited articles of heart failure-associated diseases in combination with machine learning.Frontiers in cardiovascular medicine · 2023Article
- Review
- The 100 Most-disruptive Articles in Plastic and Reconstructive Surgery and Sub-specialties (1954-2014).Plastic and reconstructive surgery. Global open · 2021Article
- Factors Associated with Low and High Article Citations in Four Prominent Orthopaedic Surgery Journals.Indian journal of orthopaedics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThere is a paucity of research comparing journal articles that accrue numerous citations with those that accrue few citations over time. Understanding differences between journal articles can help direct investigators in designing and conducting their research.
methodsUsing advanced bibliometric tools, we queried four plastic surgery journals (Journal of Reconstructive Microsurgery, Annals of Plastic Surgery, Plastic and Reconstructive Surgery, and Microsurgery) for primary research articles published between 1998 and 2008 accruing zero or one citations with at least a 10-y lag time. Forty-seven articles were identified as low citation and were compared with an equal number of articles in the same journals that accrued the highest number of citations in the same period as high citation (HC). The data were analyzed using Student t-tests, Wilcoxon rank sum tests, chi-square tests, and Fisher exact tests. The level of significance was established at P < 0.05.
resultsWhen compared with the HC cohort, the low citation articles were more likely to be nonclinical (P < 0.001), have no plastic surgery authors (P = 0.0026), and focus on the field of microsurgery (P = 0.003). The HC cohort was more likely to have higher sample sizes (P = 0.0339), focus on aesthetic/cosmetic surgery (P = 0.003), have a higher number of other disciplines included on authorship (P < 0.001), references (P = 0.0451), manuscript pages (P < 0.001), and words in the abstract (P < 0.001).
conclusionsA small number of articles published in four plastic surgery journals were uncited during a 10-y period. There are qualitative and quantitative differences between highly and lowly cited articles in the plastic surgery literature. Investigators should consider these differences when designing and conducting studies.
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.