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Mendeley readers
Attention Score in Context
| Title |
Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
|
|---|---|
| Published in |
BMC Plant Biology, May 2014
|
| DOI | 10.1186/1471-2229-14-128 |
| Pubmed ID | |
| Authors |
Awais Rasheed, Xianchun Xia, Francis Ogbonnaya, Tariq Mahmood, Zongwen Zhang, Abdul Mujeeb-Kazi, Zhonghu He |
| Abstract |
Grain size and shape greatly influence grain weight which ultimately enhances grain yield in wheat. Digital imaging (DI) based phenomic characterization can capture the three dimensional variation in grain size and shape than has hitherto been possible. In this study, we report the results from using digital imaging of grain size and shape to understand the relationship among different components of this trait, their contribution to enhance grain weight, and to identify genomic regions (QTLs) controlling grain morphology using genome wide association mapping with high density diversity array technology (DArT) and allele-specific markers. |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 108 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 29% |
| Researcher | 22 | 20% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Professor > Associate Professor | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 28 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 60% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Arts and Humanities | 1 | <1% |
| Unspecified | 1 | <1% |
| Environmental Science | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 27 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 May 2014.
All research outputs
#17,720,553
of 22,755,127 outputs
Outputs from BMC Plant Biology
#1,870
of 3,233 outputs
Outputs of similar age
#156,393
of 227,219 outputs
Outputs of similar age from BMC Plant Biology
#22
of 47 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,233 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 35th percentile – i.e., 35% 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 227,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.