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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
|
|---|---|
| Published in |
Machine Learning, May 2018
|
| DOI | 10.1007/s10994-018-5714-4 |
| Pubmed ID | |
| Authors |
Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 19% |
| Australia | 3 | 19% |
| United Kingdom | 2 | 13% |
| Japan | 1 | 6% |
| Brazil | 1 | 6% |
| United States | 1 | 6% |
| Greece | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 174 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 20% |
| Student > Ph. D. Student | 32 | 18% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 29 | 17% |
| Unknown | 41 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 24% |
| Biochemistry, Genetics and Molecular Biology | 13 | 7% |
| Engineering | 12 | 7% |
| Medicine and Dentistry | 8 | 5% |
| Mathematics | 7 | 4% |
| Other | 46 | 26% |
| Unknown | 47 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 January 2023.
All research outputs
#1,903,365
of 25,248,775 outputs
Outputs from Machine Learning
#37
of 1,209 outputs
Outputs of similar age
#39,334
of 333,962 outputs
Outputs of similar age from Machine Learning
#1
of 11 outputs
Altmetric has tracked 25,248,775 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd 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 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 333,962 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 88% of its contemporaries.
We're also able to compare this research output to 11 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 99% of its contemporaries.