Evidence map›Paper›PMID 39386303›Full record

ArticleSkin appendage disorders2024

The 100 Most Cited Androgenetic Alopecia Articles: An Analysis of Altmetrics Data from 2015 to 2022.

Advaitaa Ravipati, Tejus Pradeep, Antonella Tosti

Abstract read
In one paragraph

Article in Skin appendage disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Advaitaa RavipatiDr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
Tejus PradeepScheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA.
Antonella TostiDr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Androgenetic alopecia is the most common type of hair loss, and with increasing media integration in medicine, understanding social media consumption of literature is invaluable. Altmetric Attention Score analysis can quantify factors impacting article distribution on media platforms. Methods: To determine factors influencing literature dissemination and reader demographics, a bibliometric analysis was performed on the 100 most cited androgenetic alopecia articles. Results: Articles with top 25th percentile Altmetric Attention Scores were cited more frequently (41.76 vs. 24.59, Conclusion: Healthcare professionals appeared more discerning about article readership compared to the public. With many outlets for consumption of media, members of the public not involved in dermatology may have difficulty in identifying reliable sources of material. Overall, Altmetrics can help quantify readership trends and public interest in dermatology research.

Indexed as

AltmetricsAndrogenetic alopeciaHair lossReadership

Identifiers

PMID39386303
PMCPMC11460846

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.