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Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease

Overview of attention for article published in Genome Medicine, September 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
37 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease
Published in
Genome Medicine, September 2022
DOI 10.1186/s13073-022-01112-z
Pubmed ID
Authors

Neha Mishra, Konrad Aden, Johanna I. Blase, Nathan Baran, Dora Bordoni, Florian Tran, Claudio Conrad, Diana Avalos, Charlot Jaeckel, Michael Scherer, Signe B. Sørensen, Silja H. Overgaard, Berenice Schulte, Susanna Nikolaus, Guillaume Rey, Gilles Gasparoni, Paul A. Lyons, Joachim L. Schultze, Jörn Walter, Vibeke Andersen, Emmanouil T. Dermitzakis, Stefan Schreiber, Philip Rosenstiel

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Postgraduate 4 8%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 18 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 10 20%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Agricultural and Biological Sciences 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 8%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 05 February 2023.
All research outputs
#1,203,362
of 25,758,695 outputs
Outputs from Genome Medicine
#234
of 1,612 outputs
Outputs of similar age
#26,554
of 437,241 outputs
Outputs of similar age from Genome Medicine
#9
of 40 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done well, scoring higher than 85% 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 437,241 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.