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Mendeley readers
Attention Score in Context
| Title |
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2020
|
| DOI | 10.1186/s12911-019-1014-6 |
| Pubmed ID | |
| Authors |
André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr, Douglas G. Manuel |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 16% |
| Researcher | 16 | 14% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 36 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 15% |
| Medicine and Dentistry | 17 | 15% |
| Engineering | 9 | 8% |
| Economics, Econometrics and Finance | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 43 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 March 2024.
All research outputs
#4,397,112
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#350
of 2,159 outputs
Outputs of similar age
#98,004
of 480,548 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 68 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 83% 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 480,548 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 79% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.