ReviewThe Journal of clinical and aesthetic dermatology2020
Rethinking the Journal Impact Factor and Publishing in the Digital Age.
Review in The Journal of clinical and aesthetic dermatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Inflation of the journal impact factor.BMJ health & care informatics · 2025Article
- Environmental Impact and Sustainability Associated with the Practice of Dermatology.The Journal of clinical and aesthetic dermatology · 2025Review
- Increasing Importance and Costs Associated With Publishing for Dermatology Residency Applicants.Cureus · 2024Article
- Submitting a Manuscript to a Scientific Journal.Respiratory care · 2023Review
- The association between research funding status and clinical research papers' citation impact in Japan: A cross-sectional bibliometric study.Frontiers in medicine · 2022Article
- Trends in bibliometric indexes of the main dermatology journals (2009 to 2019).Journal of the American Academy of Dermatology · 2021Article
- Analysis of Research Topics and Trends in the Journal of Korean Academy of Nursing to Improve Its International Influence.Journal of Korean Academy of Nursing · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical and experimental literature search has changed significantly over the past few decades, and with it, the way in which we value information. Today, our need for immediate access to relevant and specific literature, regardless of specialty, has led to a growing demand for open access to publications. The Journal Impact Factor (JIF) has been a long-time standard for representing the quality or "prestige" of a journal, but it appears to be losing its relevance. Here, we define the JIF and deconstruct its validity as a modern measure of a journal's quality, discuss the current models of academic publication, including their advantages and shortcomings, and discuss the benefits and shortcomings of a variety of open-access models, including costs to the author. We have quantified a nonsubscribed physician's access to full articles associated with dermatologic disease and aesthetics cited on PubMed. For some of the most common dermatology conditions, 23.1 percent of citations (ranging from 17.2% for melasma to 31.9% for malignant melanoma) were available as free full articles, and for aesthetic procedures, 18.9 percent of citations (ranging from 11.9% for laser hair removal to 27.9% for botulinum toxin) were available as free full articles. Finally, we discuss existing alternative metrics for measuring journal impact and propose the adoption of a superior publishing model, one that satisfies modern day standards of scholarly knowledge pursuit and dissemination of scholarly publications for dermatology and all of medical science.
Indexed as
Identifiers
32082465PMC7028381What 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.