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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Genetic variation in the IL7RA/IL7 pathway increases multiple sclerosis susceptibility
|
---|---|
Published in |
Human Genetics, January 2010
|
DOI | 10.1007/s00439-010-0789-4 |
Pubmed ID | |
Authors |
Rebecca L. Zuvich, Jacob L. McCauley, Jorge R. Oksenberg, Stephen J. Sawcer, Philip L. De Jager, International Multiple Sclerosis Genetics Consortium, Cristin Aubin, Anne H. Cross, Laura Piccio, Neelum T. Aggarwal, Denis Evans, David A. Hafler, Alastair Compston, Stephen L. Hauser, Margaret A. Pericak-Vance, Jonathan L. Haines |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 2% |
United States | 2 | 2% |
United Kingdom | 1 | 1% |
Unknown | 81 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 20% |
Researcher | 11 | 13% |
Student > Master | 9 | 10% |
Student > Doctoral Student | 8 | 9% |
Student > Bachelor | 7 | 8% |
Other | 21 | 24% |
Unknown | 13 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 29% |
Agricultural and Biological Sciences | 23 | 27% |
Biochemistry, Genetics and Molecular Biology | 10 | 12% |
Immunology and Microbiology | 6 | 7% |
Computer Science | 3 | 3% |
Other | 6 | 7% |
Unknown | 13 | 15% |
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 25 March 2021.
All research outputs
#8,242,732
of 25,387,189 outputs
Outputs from Human Genetics
#978
of 3,032 outputs
Outputs of similar age
#50,171
of 173,857 outputs
Outputs of similar age from Human Genetics
#3
of 10 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,032 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 66% 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 173,857 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 70% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.