| Title |
Automated detection of multiple sclerosis lesions in serial brain MRI
|
|---|---|
| Published in |
Neuroradiology, December 2011
|
| DOI | 10.1007/s00234-011-0992-6 |
| Pubmed ID | |
| Authors |
Xavier Lladó, Onur Ganiler, Arnau Oliver, Robert Martí, Jordi Freixenet, Laia Valls, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 102 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 23% |
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 17 | 16% |
| Professor > Associate Professor | 9 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 18 | 17% |
| Unknown | 17 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 24% |
| Computer Science | 16 | 15% |
| Neuroscience | 13 | 12% |
| Engineering | 11 | 10% |
| Agricultural and Biological Sciences | 8 | 7% |
| Other | 12 | 11% |
| Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 May 2022.
All research outputs
#5,124,029
of 24,991,957 outputs
Outputs from Neuroradiology
#184
of 1,515 outputs
Outputs of similar age
#41,569
of 254,555 outputs
Outputs of similar age from Neuroradiology
#2
of 5 outputs
Altmetric has tracked 24,991,957 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,515 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% 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 254,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.