↓ Skip to main content

Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model

Overview of attention for article published in Seminars in Arthritis & Rheumatism, September 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model
Published in
Seminars in Arthritis & Rheumatism, September 2022
DOI 10.1016/j.semarthrit.2022.152097
Pubmed ID
Authors

Rubén Queiro, Daniel Seoane-Mato, Ana Laiz, Eva Galíndez Agirregoikoa, Carlos Montilla, Hye-Sang Park, Jose A. Pinto-Tasende, Juan J. Bethencourt Baute, Beatriz Joven Ibáñez, Elide Toniolo, Julio Ramírez, Ana Serrano García, Proyecto REAPSER Study Group

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 13%
Librarian 1 7%
Unspecified 1 7%
Unknown 11 73%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Medicine and Dentistry 1 7%
Engineering 1 7%
Unknown 12 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 24 March 2023.
All research outputs
#3,044,295
of 25,550,333 outputs
Outputs from Seminars in Arthritis & Rheumatism
#315
of 1,722 outputs
Outputs of similar age
#61,882
of 432,120 outputs
Outputs of similar age from Seminars in Arthritis & Rheumatism
#11
of 31 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,722 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 81% 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 432,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 31 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 67% of its contemporaries.