| Title |
Breaking the curse of dimensionality to identify causal variants in Breeding 4
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2018
|
| DOI | 10.1007/s00122-018-3267-3 |
| Pubmed ID | |
| Authors |
Guillaume P. Ramstein, Sarah E. Jensen, Edward S. Buckler |
X Demographics
The data shown below were collected from the profiles of 23 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 | 4 | 17% |
| Switzerland | 3 | 13% |
| India | 2 | 9% |
| United States | 2 | 9% |
| Canada | 1 | 4% |
| Malaysia | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 9 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 25% |
| Student > Ph. D. Student | 33 | 20% |
| Student > Master | 16 | 10% |
| Other | 10 | 6% |
| Professor | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 38 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 51% |
| Biochemistry, Genetics and Molecular Biology | 17 | 10% |
| Computer Science | 5 | 3% |
| Nursing and Health Professions | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 44 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 12 February 2019.
All research outputs
#2,702,709
of 25,358,192 outputs
Outputs from Theoretical and Applied Genetics
#206
of 3,758 outputs
Outputs of similar age
#58,440
of 450,187 outputs
Outputs of similar age from Theoretical and Applied Genetics
#12
of 61 outputs
Altmetric has tracked 25,358,192 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 3,758 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 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 450,187 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 87% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.