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Mendeley readers
Attention Score in Context
| Title |
Comparative mapping of chalkiness components in rice using five populations across two environments
|
|---|---|
| Published in |
BMC Genomic Data, April 2014
|
| DOI | 10.1186/1471-2156-15-49 |
| Pubmed ID | |
| Authors |
Bo Peng, Lingqiang Wang, Chuchuan Fan, Gonghao Jiang, Lijun Luo, Yibo Li, Yuqing He |
| Abstract |
Chalkiness is a major constraint in rice production because it is one of the key factors determining grain quality (appearance, processing, milling, storing, eating, and cooking quality) and price. Its reduction is a major goal, and the primary purpose of this study was to dissect the genetic basis of grain chalkiness. Using five populations across two environments, we also sought to determine how many quantitative trait loci (QTL) can be consistently detected. We obtained an integrated genetic map using the data from five mapping populations and further confirmed the reliability of the identified QTL. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 5 | 17% |
| Student > Doctoral Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 48% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 10 | 34% |
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 25 April 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#177,918
of 241,649 outputs
Outputs of similar age from BMC Genomic Data
#12
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% 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 241,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.