| Title |
Integrating a genome-wide association study with transcriptomic analysis to detect genes controlling grain drying rate in maize (Zea may, L.)
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2019
|
| DOI | 10.1007/s00122-019-03492-0 |
| Pubmed ID | |
| Authors |
Tengjiao Jia, Lifeng Wang, Jingjing Li, Juan Ma, Yanyong Cao, Thomas Lübberstedt, Huiyong Li |
X Demographics
The data shown below were collected from the profiles of 15 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 | 3 | 20% |
| Netherlands | 2 | 13% |
| Australia | 1 | 7% |
| Pakistan | 1 | 7% |
| United Kingdom | 1 | 7% |
| Brazil | 1 | 7% |
| Malaysia | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Doctoral Student | 3 | 14% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 43% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 16 May 2020.
All research outputs
#4,168,363
of 25,163,238 outputs
Outputs from Theoretical and Applied Genetics
#560
of 3,739 outputs
Outputs of similar age
#89,810
of 472,906 outputs
Outputs of similar age from Theoretical and Applied Genetics
#9
of 66 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,739 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 well, scoring higher than 84% 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 472,906 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 80% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.