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Application of systems biology-based in silico tools to optimize treatment strategy identification in Still’s disease

Overview of attention for article published in Arthritis Research & Therapy, April 2021
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2 X users

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39 Mendeley
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Title
Application of systems biology-based in silico tools to optimize treatment strategy identification in Still’s disease
Published in
Arthritis Research & Therapy, April 2021
DOI 10.1186/s13075-021-02507-w
Pubmed ID
Authors

Cristina Segú-Vergés, Mireia Coma, Christoph Kessel, Serge Smeets, Dirk Foell, Anna Aldea

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Professor > Associate Professor 3 8%
Student > Ph. D. Student 3 8%
Other 2 5%
Student > Bachelor 2 5%
Other 3 8%
Unknown 21 54%
Readers by discipline Count As %
Medicine and Dentistry 5 13%
Biochemistry, Genetics and Molecular Biology 3 8%
Social Sciences 3 8%
Engineering 2 5%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 24 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 November 2022.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from Arthritis Research & Therapy
#2,539
of 3,382 outputs
Outputs of similar age
#281,996
of 452,849 outputs
Outputs of similar age from Arthritis Research & Therapy
#36
of 53 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,382 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 452,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.