Title |
Muscle shear wave elastography in idiopathic inflammatory myopathies: a case–control study with MRI correlation
|
---|---|
Published in |
Skeletal Radiology, February 2019
|
DOI | 10.1007/s00256-019-03175-3 |
Pubmed ID | |
Authors |
Abdulrahman M. Alfuraih, Philip O’Connor, Ai Lyn Tan, Elizabeth M. A. Hensor, Andreas Ladas, Paul Emery, Richard J. Wakefield |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 9 | 29% |
United Kingdom | 5 | 16% |
United States | 2 | 6% |
Brazil | 1 | 3% |
Spain | 1 | 3% |
France | 1 | 3% |
Estonia | 1 | 3% |
Unknown | 11 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 71% |
Scientists | 6 | 19% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 14% |
Researcher | 9 | 11% |
Student > Master | 6 | 8% |
Student > Doctoral Student | 6 | 8% |
Other | 5 | 6% |
Other | 16 | 20% |
Unknown | 27 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 36% |
Sports and Recreations | 4 | 5% |
Nursing and Health Professions | 4 | 5% |
Unspecified | 2 | 3% |
Engineering | 2 | 3% |
Other | 6 | 8% |
Unknown | 33 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 July 2020.
All research outputs
#1,513,703
of 24,394,175 outputs
Outputs from Skeletal Radiology
#40
of 1,536 outputs
Outputs of similar age
#35,636
of 358,196 outputs
Outputs of similar age from Skeletal Radiology
#2
of 39 outputs
Altmetric has tracked 24,394,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,536 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 97% 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 358,196 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 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.