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Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs

Overview of attention for article published in Arthritis Research & Therapy, February 2021
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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)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
12 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
76 Mendeley
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Title
Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs
Published in
Arthritis Research & Therapy, February 2021
DOI 10.1186/s13075-021-02439-5
Pubmed ID
Authors

Asmir Vodencarevic, Koray Tascilar, Fabian Hartmann, Michaela Reiser, Axel J. Hueber, Judith Haschka, Sara Bayat, Timo Meinderink, Johannes Knitza, Larissa Mendez, Melanie Hagen, Gerhard Krönke, Jürgen Rech, Bernhard Manger, Arnd Kleyer, Marcus Zimmermann-Rittereiser, Georg Schett, David Simon

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 13%
Student > Ph. D. Student 6 8%
Student > Bachelor 6 8%
Student > Doctoral Student 4 5%
Student > Master 4 5%
Other 8 11%
Unknown 38 50%
Readers by discipline Count As %
Medicine and Dentistry 13 17%
Engineering 5 7%
Computer Science 4 5%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Other 9 12%
Unknown 39 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 06 May 2022.
All research outputs
#2,377,813
of 25,387,668 outputs
Outputs from Arthritis Research & Therapy
#430
of 3,383 outputs
Outputs of similar age
#62,994
of 449,595 outputs
Outputs of similar age from Arthritis Research & Therapy
#7
of 60 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,383 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 87% 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 449,595 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 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.