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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of statistical methods for genomic selection in a mice population
|
|---|---|
| Published in |
BMC Genomic Data, November 2012
|
| DOI | 10.1186/1471-2156-13-100 |
| Pubmed ID | |
| Authors |
Haroldo HR Neves, Roberto Carvalheiro, Sandra A Queiroz |
| Abstract |
The availability of high-density panels of SNP markers has opened new perspectives for marker-assisted selection strategies, such that genotypes for these markers are used to predict the genetic merit of selection candidates. Because the number of markers is often much larger than the number of phenotypes, marker effect estimation is not a trivial task. The objective of this research was to compare the predictive performance of ten different statistical methods employed in genomic selection, by analyzing data from a heterogeneous stock mice population. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Peru | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Members of the public | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 1 | <1% |
| Indonesia | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 248 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 22% |
| Researcher | 52 | 20% |
| Student > Master | 38 | 15% |
| Student > Doctoral Student | 18 | 7% |
| Student > Bachelor | 9 | 4% |
| Other | 28 | 11% |
| Unknown | 55 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 144 | 56% |
| Biochemistry, Genetics and Molecular Biology | 21 | 8% |
| Computer Science | 7 | 3% |
| Mathematics | 6 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Other | 12 | 5% |
| Unknown | 63 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 November 2012.
All research outputs
#14,913,296
of 25,371,288 outputs
Outputs from BMC Genomic Data
#453
of 1,204 outputs
Outputs of similar age
#112,102
of 198,383 outputs
Outputs of similar age from BMC Genomic Data
#5
of 17 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 198,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.