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 |
Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, November 2018
|
| DOI | 10.1007/s11548-018-1886-4 |
| Pubmed ID | |
| Authors |
Praneeth Sadda, Metehan Imamoglu, Michael Dombrowski, Xenophon Papademetris, Mert O. Bahtiyar, John Onofrey |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 21% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 20 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 17% |
| Engineering | 6 | 11% |
| Computer Science | 6 | 11% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 2 | 4% |
| Unknown | 24 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 November 2022.
All research outputs
#7,381,966
of 23,253,955 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#214
of 864 outputs
Outputs of similar age
#150,616
of 438,865 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#3
of 18 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 864 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 74% 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 438,865 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 65% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.