↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 8 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 6 18%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Researcher 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Biochemistry, Genetics and Molecular Biology 6 18%
Agricultural and Biological Sciences 4 12%
Neuroscience 2 6%
Computer Science 1 3%
Other 4 12%
Unknown 8 24%

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
#4,413,491
of 15,276,424 outputs
Outputs from Genome Medicine
#781
of 1,044 outputs
Outputs of similar age
#97,289
of 267,454 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 15,276,424 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,044 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one is in the 24th percentile – i.e., 24% 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 267,454 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 63% 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