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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Random forest versus logistic regression: a large-scale benchmark experiment
|
|---|---|
| Published in |
BMC Bioinformatics, July 2018
|
| DOI | 10.1186/s12859-018-2264-5 |
| Pubmed ID | |
| Authors |
Raphael Couronné, Philipp Probst, Anne-Laure Boulesteix |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 15% |
| Nepal | 1 | 8% |
| United States | 1 | 8% |
| Australia | 1 | 8% |
| France | 1 | 8% |
| United Kingdom | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 583 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 583 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 88 | 15% |
| Student > Ph. D. Student | 86 | 15% |
| Researcher | 57 | 10% |
| Student > Bachelor | 48 | 8% |
| Student > Doctoral Student | 25 | 4% |
| Other | 72 | 12% |
| Unknown | 207 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 71 | 12% |
| Engineering | 38 | 7% |
| Agricultural and Biological Sciences | 34 | 6% |
| Medicine and Dentistry | 30 | 5% |
| Biochemistry, Genetics and Molecular Biology | 27 | 5% |
| Other | 148 | 25% |
| Unknown | 235 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 September 2022.
All research outputs
#3,029,906
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,063
of 7,387 outputs
Outputs of similar age
#56,985
of 297,150 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 102 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 85% 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 297,150 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 80% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.