The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Self-supervised monocular depth estimation for high field of view colonoscopy cameras
|
---|---|
Published in |
Frontiers in Robotics and AI, July 2023
|
DOI | 10.3389/frobt.2023.1212525 |
Pubmed ID | |
Authors |
Alwyn Mathew, Ludovic Magerand, Emanuele Trucco, Luigi Manfredi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 17% |
United Kingdom | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 50% |
Student > Ph. D. Student | 2 | 17% |
Professor > Associate Professor | 1 | 8% |
Researcher | 1 | 8% |
Other | 1 | 8% |
Other | 0 | 0% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 50% |
Medicine and Dentistry | 2 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Materials Science | 1 | 8% |
Computer Science | 1 | 8% |
Other | 0 | 0% |
Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 August 2023.
All research outputs
#7,052,876
of 24,804,602 outputs
Outputs from Frontiers in Robotics and AI
#461
of 1,688 outputs
Outputs of similar age
#103,902
of 342,757 outputs
Outputs of similar age from Frontiers in Robotics and AI
#10
of 53 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 72% 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 342,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.