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Evidence from genome wide association studies implicates reduced control of Epstein-Barr virus infection in multiple sclerosis susceptibility

Overview of attention for article published in Genome Medicine, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Evidence from genome wide association studies implicates reduced control of Epstein-Barr virus infection in multiple sclerosis susceptibility
Published in
Genome Medicine, April 2019
DOI 10.1186/s13073-019-0640-z
Pubmed ID
Authors

Ali Afrasiabi, Grant P. Parnell, Nicole Fewings, Stephen D. Schibeci, Monica A. Basuki, Ramya Chandramohan, Yuan Zhou, Bruce Taylor, David A. Brown, Sanjay Swaminathan, Fiona C. McKay, Graeme J. Stewart, David R. Booth

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Bachelor 8 15%
Student > Master 5 9%
Researcher 4 7%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 17 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Medicine and Dentistry 7 13%
Agricultural and Biological Sciences 6 11%
Unspecified 2 4%
Neuroscience 2 4%
Other 7 13%
Unknown 18 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 December 2019.
All research outputs
#5,326,183
of 16,805,370 outputs
Outputs from Genome Medicine
#868
of 1,123 outputs
Outputs of similar age
#106,827
of 272,884 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 16,805,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 22nd percentile – i.e., 22% 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 272,884 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 60% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them