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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of random forests, boosting and support vector machines for genomic selection
|
|---|---|
| Published in |
BMC Proceedings, May 2011
|
| DOI | 10.1186/1753-6561-5-s3-s11 |
| Pubmed ID | |
| Authors |
Joseph O Ogutu, Hans-Peter Piepho, Torben Schulz-Streeck |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | <1% |
| Spain | 2 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 251 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 24% |
| Researcher | 43 | 17% |
| Student > Master | 43 | 17% |
| Student > Doctoral Student | 18 | 7% |
| Student > Bachelor | 15 | 6% |
| Other | 35 | 14% |
| Unknown | 41 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 33% |
| Computer Science | 26 | 10% |
| Engineering | 16 | 6% |
| Mathematics | 16 | 6% |
| Biochemistry, Genetics and Molecular Biology | 14 | 5% |
| Other | 49 | 19% |
| Unknown | 53 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 March 2024.
All research outputs
#2,263,625
of 26,017,215 outputs
Outputs from BMC Proceedings
#19
of 409 outputs
Outputs of similar age
#10,077
of 128,029 outputs
Outputs of similar age from BMC Proceedings
#3
of 41 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 409 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 95% 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 128,029 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 91% of its contemporaries.
We're also able to compare this research output to 41 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 90% of its contemporaries.