| Title |
Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
|
|---|---|
| Published in |
Theoretical and Applied Genetics, March 2019
|
| DOI | 10.1007/s00122-019-03317-0 |
| Pubmed ID | |
| Authors |
Joshua N. Cobb, Roselyne U. Juma, Partha S. Biswas, Juan D. Arbelaez, Jessica Rutkoski, Gary Atlin, Tom Hagen, Michael Quinn, Eng Hwa Ng |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Kenya | 1 | 5% |
| India | 1 | 5% |
| Zimbabwe | 1 | 5% |
| Sudan | 1 | 5% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| Brazil | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 77% |
| Scientists | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 515 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 97 | 19% |
| Researcher | 93 | 18% |
| Student > Master | 51 | 10% |
| Student > Bachelor | 30 | 6% |
| Student > Doctoral Student | 18 | 3% |
| Other | 61 | 12% |
| Unknown | 165 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 255 | 50% |
| Biochemistry, Genetics and Molecular Biology | 26 | 5% |
| Social Sciences | 7 | 1% |
| Medicine and Dentistry | 6 | 1% |
| Unspecified | 6 | 1% |
| Other | 35 | 7% |
| Unknown | 180 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 15 June 2023.
All research outputs
#1,446,101
of 26,017,215 outputs
Outputs from Theoretical and Applied Genetics
#57
of 4,007 outputs
Outputs of similar age
#33,312
of 370,898 outputs
Outputs of similar age from Theoretical and Applied Genetics
#1
of 59 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 96% 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 370,898 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.