| Title |
Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
|
|---|---|
| Published in |
Genetics Selection Evolution, March 2019
|
| DOI | 10.1186/s12711-019-0453-y |
| Pubmed ID | |
| Authors |
Miriam Piles, Carlos Fernandez-Lozano, María Velasco-Galilea, Olga González-Rodríguez, Juan Pablo Sánchez, David Torrallardona, Maria Ballester, Raquel Quintanilla |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Argentina | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 21% |
| Student > Master | 18 | 19% |
| Researcher | 13 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 4 | 4% |
| Other | 9 | 9% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 25% |
| Biochemistry, Genetics and Molecular Biology | 22 | 23% |
| Computer Science | 6 | 6% |
| Medicine and Dentistry | 6 | 6% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 25 | 26% |
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 24 March 2019.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Genetics Selection Evolution
#441
of 821 outputs
Outputs of similar age
#193,539
of 364,902 outputs
Outputs of similar age from Genetics Selection Evolution
#7
of 10 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 44th percentile – i.e., 44% 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 364,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.