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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic Overlap Between Diagnostic Subtypes of Ischemic Stroke
|
|---|---|
| Published in |
Stroke, January 2015
|
| DOI | 10.1161/strokeaha.114.007930 |
| Pubmed ID | |
| Authors |
Elizabeth G Holliday, Matthew Traylor, Rainer Malik, Steve Bevan, Guido Falcone, Jemma C Hopewell, Yu-Ching Cheng, Ioana Cotlarciuc, Joshua C Bis, Eric Boerwinkle, Giorgio B Boncoraglio, Robert Clarke, John W Cole, Myriam Fornage, Karen L Furie, M Arfan Ikram, Jim Jannes, Steven J Kittner, Lisa F Lincz, Jane M Maguire, James F Meschia, Thomas H Mosley, Mike A Nalls, Christopher Oldmeadow, Eugenio A Parati, Bruce M Psaty, Peter M Rothwell, Sudha Seshadri, Rodney J Scott, Pankaj Sharma, Cathie Sudlow, Kerri L Wiggins, Bradford B Worrall, Jonathan Rosand, Braxton D Mitchell, Martin Dichgans, Hugh S Markus, Christopher Levi, John Attia, Naomi R Wray |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 29% |
| Netherlands | 2 | 14% |
| Canada | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 74 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Ph. D. Student | 16 | 21% |
| Student > Bachelor | 8 | 11% |
| Librarian | 6 | 8% |
| Professor | 5 | 7% |
| Other | 16 | 21% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Neuroscience | 7 | 9% |
| Nursing and Health Professions | 6 | 8% |
| Agricultural and Biological Sciences | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 30 January 2015.
All research outputs
#2,428,626
of 25,374,917 outputs
Outputs from Stroke
#2,572
of 12,372 outputs
Outputs of similar age
#32,969
of 359,658 outputs
Outputs of similar age from Stroke
#30
of 185 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done well, scoring higher than 79% 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 359,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.