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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel approach for skin lesion symmetry classification with a deep learning model
|
|---|---|
| Published in |
Computers in Biology & Medicine, March 2022
|
| DOI | 10.1016/j.compbiomed.2022.105450 |
| Pubmed ID | |
| Authors |
Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González-Hidalgo |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 33% |
| United States | 2 | 13% |
| Mexico | 1 | 7% |
| India | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Scientists | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 17 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 23% |
| Engineering | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 23 November 2023.
All research outputs
#1,955,037
of 25,478,886 outputs
Outputs from Computers in Biology & Medicine
#52
of 2,780 outputs
Outputs of similar age
#45,731
of 446,096 outputs
Outputs of similar age from Computers in Biology & Medicine
#4
of 142 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,780 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 446,096 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 89% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.