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X Demographics
Mendeley readers
Attention Score in Context
Title |
Focused HLA analysis in Caucasians with myositis identifies significant associations with autoantibody subgroups
|
---|---|
Published in |
Annals of the Rheumatic Diseases, May 2019
|
DOI | 10.1136/annrheumdis-2019-215046 |
Pubmed ID | |
Authors |
Simon Rothwell, Hector Chinoy, Janine A Lamb, Frederick W Miller, Lisa G Rider, Lucy R Wedderburn, Neil J McHugh, Andrew L Mammen, Zoe E Betteridge, Sarah L Tansley, John Bowes, Jiří Vencovský, Claire T Deakin, Katalin Dankó, Limaye Vidya, Albert Selva-O'Callaghan, Lauren M Pachman, Ann M Reed, Øyvind Molberg, Olivier Benveniste, Pernille R Mathiesen, Timothy R D J Radstake, Andrea Doria, Jan de Bleecker, Annette T Lee, Michael G Hanna, Pedro M Machado, William E Ollier, Peter K Gregersen, Leonid Padyukov, Terrance P O'Hanlon, Robert G Cooper, Ingrid E Lundberg |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 7 | 24% |
United Kingdom | 4 | 14% |
United States | 3 | 10% |
Mexico | 3 | 10% |
Portugal | 1 | 3% |
France | 1 | 3% |
Unknown | 10 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 76% |
Scientists | 3 | 10% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
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 % |
---|---|---|
Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 19% |
Other | 9 | 10% |
Student > Ph. D. Student | 8 | 9% |
Student > Master | 7 | 8% |
Professor | 5 | 6% |
Other | 21 | 24% |
Unknown | 20 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 33% |
Biochemistry, Genetics and Molecular Biology | 12 | 14% |
Agricultural and Biological Sciences | 6 | 7% |
Social Sciences | 4 | 5% |
Immunology and Microbiology | 3 | 3% |
Other | 8 | 9% |
Unknown | 25 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 05 March 2020.
All research outputs
#2,230,066
of 26,017,215 outputs
Outputs from Annals of the Rheumatic Diseases
#1,369
of 7,902 outputs
Outputs of similar age
#46,533
of 368,212 outputs
Outputs of similar age from Annals of the Rheumatic Diseases
#30
of 89 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 82% 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 368,212 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 89 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 66% of its contemporaries.