| Title |
Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes
|
|---|---|
| Published in |
Journal of Applied Genetics, September 2018
|
| DOI | 10.1007/s13353-018-0470-5 |
| Pubmed ID | |
| Authors |
Hermenegildo Lucas Justino Chiaia, Elisa Peripolli, Rafael Medeiros de Oliveira Silva, Fabiele Loise Braga Feitosa, Marcos Vinícius Antunes de Lemos, Mariana Piatto Berton, Bianca Ferreira Olivieri, Rafael Espigolan, Rafael Lara Tonussi, Daniel Gustavo Mansan Gordo, Lucia Galvão de Albuquerque, Henrique Nunes de Oliveira, Adrielle Mathias Ferrinho, Lenise Freitas Mueller, Sabrina Kluska, Humberto Tonhati, Angélica Simone Cravo Pereira, Ignacio Aguilar, Fernando Baldi |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 18% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Social Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 October 2018.
All research outputs
#17,992,761
of 23,106,934 outputs
Outputs from Journal of Applied Genetics
#221
of 395 outputs
Outputs of similar age
#243,620
of 340,834 outputs
Outputs of similar age from Journal of Applied Genetics
#4
of 11 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 395 research outputs from this source. They receive a mean Attention Score of 3.0. 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 340,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 54% of its contemporaries.