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Novel Predictive Model for Adrenal Insufficiency in Dermatological Patients with Topical Corticosteroids Use: A Cross-Sectional Study

Overview of attention for article published in International Journal of General Medicine, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
14 Mendeley
Title
Novel Predictive Model for Adrenal Insufficiency in Dermatological Patients with Topical Corticosteroids Use: A Cross-Sectional Study
Published in
International Journal of General Medicine, November 2021
DOI 10.2147/ijgm.s342841
Pubmed ID
Authors

Suporntip Hintong, Phichayut Phinyo, Mati Chuamanochan, Mattabhorn Phimphilai, Worapaka Manosroi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Postgraduate 2 14%
Professor > Associate Professor 2 14%
Professor 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unspecified 1 7%
Business, Management and Accounting 1 7%
Nursing and Health Professions 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2021.
All research outputs
#16,463,950
of 25,990,981 outputs
Outputs from International Journal of General Medicine
#611
of 1,678 outputs
Outputs of similar age
#235,717
of 447,256 outputs
Outputs of similar age from International Journal of General Medicine
#51
of 202 outputs
Altmetric has tracked 25,990,981 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.