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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
|
---|---|
Chapter number | 53 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published in |
arXiv, October 2019
|
DOI | 10.1007/978-3-030-32254-0_53 |
Book ISBNs |
978-3-03-032253-3, 978-3-03-032254-0
|
Authors |
Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Liu, Daochang, Jiang, Tingting, Wang, Yizhou, Miao, Rulin, Shan, Fei, Li, Ziyu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 25% |
Japan | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Student > Doctoral Student | 3 | 14% |
Researcher | 2 | 9% |
Student > Bachelor | 2 | 9% |
Student > Master | 2 | 9% |
Other | 2 | 9% |
Unknown | 6 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 27% |
Medicine and Dentistry | 4 | 18% |
Engineering | 3 | 14% |
Unspecified | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 0 | 0% |
Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 August 2020.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#191,166
of 356,381 outputs
Outputs of similar age from arXiv
#9,177
of 29,245 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 gotten more attention than average, scoring higher than 71% 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 356,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,245 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.