You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNPs selection using support vector regression and genetic algorithms in GWAS
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-s7-s4 |
| Pubmed ID | |
| Authors |
Fabrízzio Condé de Oliveira, Carlos Cristiano Hasenclever Borges, Fernanda Nascimento Almeida, Fabyano Fonseca e Silva, Rui da Silva Verneque, Marcos Vinicius GB da Silva, Wagner Arbex |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Researcher | 8 | 15% |
| Student > Bachelor | 7 | 13% |
| Student > Doctoral Student | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 13 | 24% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 31% |
| Computer Science | 14 | 25% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Medicine and Dentistry | 4 | 7% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 August 2015.
All research outputs
#14,789,079
of 22,769,322 outputs
Outputs from BMC Genomics
#6,129
of 10,639 outputs
Outputs of similar age
#143,797
of 260,278 outputs
Outputs of similar age from BMC Genomics
#117
of 217 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 260,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.