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Multi-omic landscape of rheumatoid arthritis: re-evaluation of drug adverse effects

Overview of attention for article published in Frontiers in Cell and Developmental Biology, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
6 X users
peer_reviews
1 peer review site
googleplus
1 Google+ user

Readers on

mendeley
51 Mendeley
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Title
Multi-omic landscape of rheumatoid arthritis: re-evaluation of drug adverse effects
Published in
Frontiers in Cell and Developmental Biology, November 2014
DOI 10.3389/fcell.2014.00059
Pubmed ID
Authors

Paolo Tieri, XiaoYuan Zhou, Lisha Zhu, Christine Nardini

Abstract

To provide a frame to estimate the systemic impact (side/adverse events) of (novel) therapeutic targets by taking into consideration drugs potential on the numerous districts involved in rheumatoid arthritis (RA) from the inflammatory and immune response to the gut-intestinal (GI) microbiome.

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Brazil 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 12 24%
Student > Master 4 8%
Student > Bachelor 3 6%
Professor 3 6%
Other 9 18%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 25%
Medicine and Dentistry 9 18%
Biochemistry, Genetics and Molecular Biology 5 10%
Computer Science 3 6%
Immunology and Microbiology 3 6%
Other 7 14%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 March 2015.
All research outputs
#5,875,378
of 22,769,322 outputs
Outputs from Frontiers in Cell and Developmental Biology
#1,223
of 8,971 outputs
Outputs of similar age
#64,546
of 262,191 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#3
of 13 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,971 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 86% 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 262,191 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 74% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.