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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validity of a computer-assisted manual segmentation software to quantify wrist erosion volume using computed tomography scans in rheumatoid arthritis
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, September 2013
|
| DOI | 10.1186/1471-2474-14-265 |
| Pubmed ID | |
| Authors |
Fausto Salaffi, Marina Carotti, Alessandro Ciapetti, Alarico Ariani, Stefania Gasparini, Walter Grassi |
| Abstract |
To investigate the performance of conventional radiography (CR) for the detection of bone erosions of wrist in rheumatoid arthritis (RA) using multidetector computed tomography (CT) as the reference method and to evaluate the validity of a computer-assisted manual segmentation (outlining) technique to quantify erosion volume on CT scans. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Colombia | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 30 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 24% |
| Student > Master | 5 | 15% |
| Other | 3 | 9% |
| Lecturer | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 39% |
| Agricultural and Biological Sciences | 2 | 6% |
| Engineering | 2 | 6% |
| Psychology | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 33% |
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 12 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from BMC Musculoskeletal Disorders
#2,445
of 4,030 outputs
Outputs of similar age
#121,911
of 198,485 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#57
of 86 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,030 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 28th percentile – i.e., 28% 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 198,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.