| Title |
Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2017
|
| DOI | 10.1007/s00122-017-3030-1 |
| Pubmed ID | |
| Authors |
Marty J. Faville, Siva Ganesh, Mingshu Cao, M. Z. Zulfi Jahufer, Timothy P. Bilton, H. Sydney Easton, Douglas L. Ryan, Jason A. K. Trethewey, M. Philip Rolston, Andrew G. Griffiths, Roger Moraga, Casey Flay, Jana Schmidt, Rachel Tan, Brent A. Barrett |
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 Kingdom | 2 | 33% |
| Canada | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Researcher | 10 | 15% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 48% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Social Sciences | 2 | 3% |
| Environmental Science | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 21 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 April 2018.
All research outputs
#8,577,479
of 26,017,215 outputs
Outputs from Theoretical and Applied Genetics
#1,549
of 4,007 outputs
Outputs of similar age
#157,349
of 454,399 outputs
Outputs of similar age from Theoretical and Applied Genetics
#28
of 50 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,007 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 59% 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 454,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.