| Title |
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study
|
|---|---|
| Published in |
Journal of Medical Systems, January 2019
|
| DOI | 10.1007/s10916-019-1160-5 |
| Pubmed ID | |
| Authors |
Justin P. Tuwatananurak, Shayan Zadeh, Xinling Xu, Joshua A. Vacanti, William R. Fulton, Jesse M. Ehrenfeld, Richard D. Urman |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 14% |
| Student > Master | 19 | 14% |
| Student > Ph. D. Student | 18 | 13% |
| Other | 9 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Other | 22 | 16% |
| Unknown | 40 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 22% |
| Engineering | 18 | 13% |
| Nursing and Health Professions | 9 | 7% |
| Computer Science | 7 | 5% |
| Business, Management and Accounting | 4 | 3% |
| Other | 21 | 15% |
| Unknown | 47 | 35% |
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 02 February 2019.
All research outputs
#16,310,452
of 24,797,973 outputs
Outputs from Journal of Medical Systems
#697
of 1,234 outputs
Outputs of similar age
#264,448
of 448,064 outputs
Outputs of similar age from Journal of Medical Systems
#11
of 23 outputs
Altmetric has tracked 24,797,973 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 448,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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 52% of its contemporaries.