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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Block Forests: random forests for blocks of clinical and omics covariate data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2942-y |
| Pubmed ID | |
| Authors |
Roman Hornung, Marvin N. Wright |
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 % |
|---|---|---|
| United Kingdom | 2 | 25% |
| India | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 12 | 21% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Other | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 14% |
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Engineering | 4 | 7% |
| Immunology and Microbiology | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 19 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 July 2019.
All research outputs
#3,281,988
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#1,061
of 7,657 outputs
Outputs of similar age
#64,519
of 357,166 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 160 outputs
Altmetric has tracked 25,163,238 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 7,657 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 86% 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 357,166 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 81% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.