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The interaction of Multiple Sclerosis risk loci with Epstein-Barr virus phenotypes implicates the virus in pathogenesis

Overview of attention for article published in Scientific Reports, January 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
3 X users
facebook
2 Facebook pages

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
70 Mendeley
Title
The interaction of Multiple Sclerosis risk loci with Epstein-Barr virus phenotypes implicates the virus in pathogenesis
Published in
Scientific Reports, January 2020
DOI 10.1038/s41598-019-55850-z
Pubmed ID
Authors

Ali Afrasiabi, Grant P. Parnell, Sanjay Swaminathan, Graeme J. Stewart, David R. Booth

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 14%
Student > Ph. D. Student 9 13%
Researcher 8 11%
Student > Master 7 10%
Student > Doctoral Student 6 9%
Other 9 13%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 10 14%
Biochemistry, Genetics and Molecular Biology 10 14%
Immunology and Microbiology 7 10%
Neuroscience 6 9%
Agricultural and Biological Sciences 4 6%
Other 6 9%
Unknown 27 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 January 2022.
All research outputs
#7,487,737
of 22,888,307 outputs
Outputs from Scientific Reports
#51,062
of 123,656 outputs
Outputs of similar age
#163,149
of 453,904 outputs
Outputs of similar age from Scientific Reports
#1,845
of 4,336 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 56% 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 453,904 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 56% of its contemporaries.
We're also able to compare this research output to 4,336 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.