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X Demographics
Mendeley readers
Attention Score in Context
| Title |
QTL mapping and epistatic interaction analysis in asparagus bean for several characterized and novel horticulturally important traits
|
|---|---|
| Published in |
BMC Genomic Data, February 2013
|
| DOI | 10.1186/1471-2156-14-4 |
| Pubmed ID | |
| Authors |
Pei Xu, Xiaohua Wu, Baogen Wang, Tingting Hu, Zhongfu Lu, Yonghua Liu, Dehui Qin, Sha Wang, Guojing Li |
| Abstract |
Asparagus bean (Vigna. unguiculata. ssp sesquipedalis) is a subspecies and special vegetable type of cowpea (Vigna. unguiculata L. Walp.) important in Asia. Genetic basis of horticulturally important traits of asparagus bean is still poorly understood, hindering the utilization of targeted, DNA marker-assisted breeding in this crop. Here we report the identification of quantitative trait loci (QTLs) and epistatic interactions for four horticultural traits, namely, days to first flowering (FLD), nodes to first flower (NFF), leaf senescence (LS) and pod number per plant (PN) using a recombinant inbred line (RIL) population of asparagus bean. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 7 | 13% |
| Student > Master | 7 | 13% |
| Professor | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 52% |
| Medicine and Dentistry | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Computer Science | 2 | 4% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 25% |
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 04 February 2013.
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
#230,301
of 291,803 outputs
Outputs of similar age from BMC Genomic Data
#15
of 16 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 291,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.