The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
|
|---|---|
| Published in |
Frontiers in Medicine, October 2022
|
| DOI | 10.3389/fmed.2022.1000726 |
| Pubmed ID | |
| Authors |
Pere Gilabert, Jordi Vitrià, Pablo Laiz, Carolina Malagelada, Angus Watson, Hagen Wenzek, Santi Segui |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Denmark | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 10 | 40% |
| Librarian | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 10 | 40% |
| Computer Science | 3 | 12% |
| Medicine and Dentistry | 2 | 8% |
| Mathematics | 1 | 4% |
| Unknown | 9 | 36% |
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 09 February 2023.
All research outputs
#4,855,631
of 23,801,276 outputs
Outputs from Frontiers in Medicine
#1,251
of 6,216 outputs
Outputs of similar age
#101,367
of 443,602 outputs
Outputs of similar age from Frontiers in Medicine
#75
of 502 outputs
Altmetric has tracked 23,801,276 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 6,216 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 79% 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 443,602 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 77% of its contemporaries.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.