| Title |
Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database
|
|---|---|
| Published in |
Surgical Endoscopy, January 2020
|
| DOI | 10.1007/s00464-020-07378-x |
| Pubmed ID | |
| Authors |
Jacob Nudel, Andrew M. Bishara, Susanna W. L. de Geus, Prasad Patil, Jayakanth Srinivasan, Donald T. Hess, Jonathan Woodson |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| Malaysia | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 5 | 7% |
| Lecturer > Senior Lecturer | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 29 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 28% |
| Computer Science | 8 | 11% |
| Nursing and Health Professions | 2 | 3% |
| Social Sciences | 2 | 3% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 35 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 03 March 2020.
All research outputs
#1,898,185
of 23,189,371 outputs
Outputs from Surgical Endoscopy
#172
of 6,145 outputs
Outputs of similar age
#48,011
of 455,853 outputs
Outputs of similar age from Surgical Endoscopy
#4
of 94 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,145 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 97% 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 455,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.