| Title |
QTL mapping for maize starch content and candidate gene prediction combined with co-expression network analysis
|
|---|---|
| Published in |
Theoretical and Applied Genetics, March 2019
|
| DOI | 10.1007/s00122-019-03326-z |
| Pubmed ID | |
| Authors |
Feng Lin, Ling Zhou, Bing He, Xiaolin Zhang, Huixue Dai, Yiliang Qian, Long Ruan, Han Zhao |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 14% |
| Brazil | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Student > Doctoral Student | 5 | 13% |
| Student > Master | 4 | 11% |
| Researcher | 3 | 8% |
| Professor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 55% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Unspecified | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2019.
All research outputs
#7,085,568
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,222
of 3,565 outputs
Outputs of similar age
#128,679
of 353,643 outputs
Outputs of similar age from Theoretical and Applied Genetics
#26
of 54 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% 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 353,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.