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Mendeley readers
Attention Score in Context
| Title |
Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation
|
|---|---|
| Published in |
PLOS ONE, August 2013
|
| DOI | 10.1371/journal.pone.0070059 |
| Pubmed ID | |
| Authors |
Albert K. Hoang Duc, Marc Modat, Kelvin K. Leung, M. Jorge Cardoso, Josephine Barnes, Timor Kadir, Sébastien Ourselin, for the Alzheimer’s Disease Neuroimaging Initiative |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Russia | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 17 | 22% |
| Student > Master | 10 | 13% |
| Professor | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 24% |
| Engineering | 12 | 16% |
| Medicine and Dentistry | 10 | 13% |
| Neuroscience | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 16 | 21% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 February 2020.
All research outputs
#3,301,472
of 22,957,478 outputs
Outputs from PLOS ONE
#43,425
of 195,702 outputs
Outputs of similar age
#29,442
of 198,798 outputs
Outputs of similar age from PLOS ONE
#1,045
of 4,939 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 77% 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 198,798 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 84% of its contemporaries.
We're also able to compare this research output to 4,939 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.