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Impact of autoimmune risk alleles on the immune system

Overview of attention for article published in Genome Medicine, June 2015
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1 tweeter

Citations

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3 Dimensions

Readers on

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14 Mendeley
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Title
Impact of autoimmune risk alleles on the immune system
Published in
Genome Medicine, June 2015
DOI 10.1186/s13073-015-0182-y
Pubmed ID
Authors

John P Ray, Nir Hacohen

Abstract

Genetic analyses of autoimmune diseases have revealed hundreds of disease-associated DNA variants, but the identity and function of the causal variants are understudied and warrant deeper mechanistic studies. Here, we highlight methods for deciphering how alleles that are associated with autoimmune disease alter the human immune system, and suggest strategies for future autoimmune genetic research.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 2 14%
Student > Postgraduate 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Other 3 21%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 3 21%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Other 1 7%

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 10 July 2015.
All research outputs
#10,214,218
of 12,787,140 outputs
Outputs from Genome Medicine
#874
of 920 outputs
Outputs of similar age
#158,262
of 231,253 outputs
Outputs of similar age from Genome Medicine
#10
of 11 outputs
Altmetric has tracked 12,787,140 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 920 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one is in the 1st percentile – i.e., 1% 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 231,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.