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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
|
|---|---|
| Chapter number | 8 |
| Book title |
Computer-Assisted and Robotic Endoscopy
|
| Published in |
arXiv, January 2017
|
| DOI | 10.1007/978-3-319-54057-3_8 |
| Book ISBNs |
978-3-31-954056-6, 978-3-31-954057-3
|
| Authors |
Garcia Peraza Herrera, LC, Li, W, Gruijthuijsen, C, Devreker, A, Attilakos, G, Deprest, J, Vander Poorten, E, Stoyanov, D, Vercauteren, T, Ourselin, S, Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, García-Peraza-Herrera, Luis C., Li, Wenqi, Gruijthuijsen, Caspar, Devreker, Alain, Attilakos, George, Deprest, Jan, Vander Poorten, Emmanuel, Stoyanov, Danail, Vercauteren, Tom, Ourselin, Sébastien |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Greece | 1 | 1% |
| Unknown | 94 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 21% |
| Student > Master | 16 | 17% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 25 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 33% |
| Computer Science | 26 | 27% |
| Medicine and Dentistry | 5 | 5% |
| Physics and Astronomy | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 30 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2020.
All research outputs
#13,798,575
of 24,093,053 outputs
Outputs from arXiv
#204,377
of 1,018,817 outputs
Outputs of similar age
#208,804
of 428,053 outputs
Outputs of similar age from arXiv
#3,552
of 16,756 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 78% 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 428,053 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 50% of its contemporaries.
We're also able to compare this research output to 16,756 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.