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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, October 2021
|
| DOI | 10.1186/s12891-021-04722-7 |
| Pubmed ID | |
| Authors |
Simon Olsson, Ehsan Akbarian, Anna Lind, Ali Sharif Razavian, Max Gordon |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 9% |
| Student > Ph. D. Student | 7 | 7% |
| Other | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Professor | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 57 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 16% |
| Computer Science | 6 | 6% |
| Nursing and Health Professions | 4 | 4% |
| Engineering | 4 | 4% |
| Arts and Humanities | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 60 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 November 2021.
All research outputs
#14,027,062
of 23,881,329 outputs
Outputs from BMC Musculoskeletal Disorders
#1,982
of 4,185 outputs
Outputs of similar age
#190,328
of 435,990 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#41
of 98 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 52% 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 435,990 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 55% of its contemporaries.
We're also able to compare this research output to 98 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 58% of its contemporaries.