| Title |
Combining pedigree and genomic information to improve prediction quality: an example in sorghum
|
|---|---|
| Published in |
Theoretical and Applied Genetics, April 2019
|
| DOI | 10.1007/s00122-019-03337-w |
| Pubmed ID | |
| Authors |
Julio G. Velazco, Marcos Malosetti, Colleen H. Hunt, Emma S. Mace, David R. Jordan, Fred A. van Eeuwijk |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 31% |
| Germany | 2 | 15% |
| United Kingdom | 1 | 8% |
| France | 1 | 8% |
| Canada | 1 | 8% |
| Brazil | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 27% |
| Researcher | 19 | 18% |
| Student > Master | 12 | 11% |
| Student > Doctoral Student | 9 | 8% |
| Other | 6 | 6% |
| Other | 13 | 12% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 71% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Business, Management and Accounting | 1 | <1% |
| Computer Science | 1 | <1% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 29 December 2021.
All research outputs
#2,438,216
of 24,292,134 outputs
Outputs from Theoretical and Applied Genetics
#187
of 3,644 outputs
Outputs of similar age
#53,800
of 356,851 outputs
Outputs of similar age from Theoretical and Applied Genetics
#7
of 44 outputs
Altmetric has tracked 24,292,134 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,644 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 356,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.