| Title |
Supersparse linear integer models for optimized medical scoring systems
|
|---|---|
| Published in |
Machine Learning, November 2015
|
| DOI | 10.1007/s10994-015-5528-6 |
| Authors |
Berk Ustun, Cynthia Rudin |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 13% |
| Canada | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 215 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 24% |
| Student > Master | 36 | 17% |
| Researcher | 22 | 10% |
| Student > Bachelor | 14 | 6% |
| Student > Doctoral Student | 11 | 5% |
| Other | 26 | 12% |
| Unknown | 55 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 38% |
| Engineering | 17 | 8% |
| Mathematics | 8 | 4% |
| Business, Management and Accounting | 6 | 3% |
| Social Sciences | 6 | 3% |
| Other | 34 | 16% |
| Unknown | 63 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 01 November 2023.
All research outputs
#1,356,799
of 25,262,379 outputs
Outputs from Machine Learning
#24
of 1,209 outputs
Outputs of similar age
#20,024
of 292,483 outputs
Outputs of similar age from Machine Learning
#2
of 8 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,209 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 98% 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 292,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.