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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images
|
|---|---|
| Published in |
Scientific Reports, April 2019
|
| DOI | 10.1038/s41598-019-42215-9 |
| Pubmed ID | |
| Authors |
Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O’Connor, Dietrich Rebholz-Schuhmann, John Newell |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 11% |
| Nepal | 1 | 11% |
| Italy | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 16% |
| Student > Bachelor | 10 | 9% |
| Student > Ph. D. Student | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Researcher | 6 | 6% |
| Other | 22 | 20% |
| Unknown | 39 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 15% |
| Computer Science | 15 | 14% |
| Engineering | 11 | 10% |
| Neuroscience | 3 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Other | 16 | 15% |
| Unknown | 45 | 41% |
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 06 October 2019.
All research outputs
#14,454,334
of 25,473,687 outputs
Outputs from Scientific Reports
#63,326
of 141,271 outputs
Outputs of similar age
#176,916
of 366,479 outputs
Outputs of similar age from Scientific Reports
#1,938
of 3,936 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 141,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 54% 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 366,479 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 51% of its contemporaries.
We're also able to compare this research output to 3,936 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.