| Title |
Use of near-isogenic lines to precisely map and validate a major QTL for grain weight on chromosome 4AL in bread wheat (Triticum aestivum L.)
|
|---|---|
| Published in |
Theoretical and Applied Genetics, May 2019
|
| DOI | 10.1007/s00122-019-03359-4 |
| Pubmed ID | |
| Authors |
Panfeng Guan, Na Di, Qing Mu, Xueyi Shen, Yongfa Wang, Xiaobo Wang, Kuohai Yu, Wanjun Song, Yongming Chen, Mingming Xin, Zhaorong Hu, Weilong Guo, Yingyin Yao, Zhongfu Ni, Qixin Sun, Huiru Peng |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Turkey | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 32% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 December 2019.
All research outputs
#6,918,132
of 24,393,999 outputs
Outputs from Theoretical and Applied Genetics
#1,224
of 3,654 outputs
Outputs of similar age
#119,943
of 354,479 outputs
Outputs of similar age from Theoretical and Applied Genetics
#27
of 48 outputs
Altmetric has tracked 24,393,999 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,654 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 66% 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 354,479 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 65% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.