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Candidate Markers for Stratification and Classification in Rheumatoid Arthritis

Overview of attention for article published in Frontiers in immunology, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
6 X users

Citations

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18 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Candidate Markers for Stratification and Classification in Rheumatoid Arthritis
Published in
Frontiers in immunology, July 2019
DOI 10.3389/fimmu.2019.01488
Pubmed ID
Authors

Lucius Bader, Stein-Erik Gullaksen, Nello Blaser, Morten Brun, Gerd Haga Bringeland, André Sulen, Clara Gram Gjesdal, Christian Vedeler, Sonia Gavasso

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Researcher 9 19%
Student > Ph. D. Student 5 11%
Other 4 9%
Student > Bachelor 3 6%
Other 4 9%
Unknown 13 28%
Readers by discipline Count As %
Immunology and Microbiology 7 15%
Medicine and Dentistry 7 15%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 3 6%
Computer Science 2 4%
Other 5 11%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 October 2020.
All research outputs
#14,608,799
of 25,385,509 outputs
Outputs from Frontiers in immunology
#12,369
of 31,539 outputs
Outputs of similar age
#176,433
of 362,023 outputs
Outputs of similar age from Frontiers in immunology
#328
of 690 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,539 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 362,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 690 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 51% of its contemporaries.