| Title |
Sports-related lower limb muscle injuries: pattern recognition approach and MRI review
|
|---|---|
| Published in |
Insights into Imaging, October 2020
|
| DOI | 10.1186/s13244-020-00912-4 |
| Pubmed ID | |
| Authors |
Jaime Isern-Kebschull, Sandra Mechó, Ricard Pruna, Ara Kassarjian, Xavier Valle, Xavier Yanguas, Xavier Alomar, Javier Martinez, Jaume Pomés, Gil Rodas |
X Demographics
The data shown below were collected from the profiles of 68 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 | 21 | 31% |
| United Kingdom | 5 | 7% |
| United States | 4 | 6% |
| Canada | 2 | 3% |
| Colombia | 2 | 3% |
| Switzerland | 2 | 3% |
| Germany | 1 | 1% |
| Saudi Arabia | 1 | 1% |
| Netherlands | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 22 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 62% |
| Practitioners (doctors, other healthcare professionals) | 18 | 26% |
| Scientists | 7 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 12% |
| Student > Master | 10 | 8% |
| Student > Postgraduate | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Other | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 53 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 25% |
| Sports and Recreations | 10 | 8% |
| Nursing and Health Professions | 10 | 8% |
| Unspecified | 5 | 4% |
| Engineering | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 53 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 27 April 2024.
All research outputs
#1,006,642
of 25,802,847 outputs
Outputs from Insights into Imaging
#31
of 1,289 outputs
Outputs of similar age
#27,705
of 437,072 outputs
Outputs of similar age from Insights into Imaging
#1
of 19 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 437,072 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 93% of its contemporaries.
We're also able to compare this research output to 19 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.