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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
|
|---|---|
| Published in |
Arthritis Research & Therapy, October 2021
|
| DOI | 10.1186/s13075-021-02634-4 |
| Pubmed ID | |
| Authors |
Jean-Baptiste Schiratti, Rémy Dubois, Paul Herent, David Cahané, Jocelyn Dachary, Thomas Clozel, Gilles Wainrib, Florence Keime-Guibert, Agnes Lalande, Maria Pueyo, Romain Guillier, Christine Gabarroca, Philippe Moingeon |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 36 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 14% |
| Engineering | 7 | 10% |
| Computer Science | 7 | 10% |
| Mathematics | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 41 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 June 2022.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from Arthritis Research & Therapy
#2,539
of 3,382 outputs
Outputs of similar age
#266,068
of 441,810 outputs
Outputs of similar age from Arthritis Research & Therapy
#31
of 38 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,382 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 441,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.