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X Demographics
Mendeley readers
Attention Score in Context
| Title |
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
|
|---|---|
| Published in |
Genome Biology, May 2019
|
| DOI | 10.1186/s13059-019-1697-0 |
| Pubmed ID | |
| Authors |
Laurent Gentzbittel, Cécile Ben, Mélanie Mazurier, Min-Gyoung Shin, Todd Lorenz, Martina Rickauer, Paul Marjoram, Sergey V. Nuzhdin, Tatiana V. Tatarinova |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 4 | 22% |
| United Kingdom | 2 | 11% |
| Portugal | 1 | 6% |
| Brunei Darussalam | 1 | 6% |
| Russia | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Scientists | 3 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 13 | 19% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 57% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Environmental Science | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 October 2019.
All research outputs
#3,324,717
of 25,385,509 outputs
Outputs from Genome Biology
#2,387
of 4,468 outputs
Outputs of similar age
#67,109
of 364,187 outputs
Outputs of similar age from Genome Biology
#53
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 46th percentile – i.e., 46% 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 364,187 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 81% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.