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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep resequencing reveals allelic variation in Sesamum indicum
|
|---|---|
| Published in |
BMC Plant Biology, August 2014
|
| DOI | 10.1186/s12870-014-0225-3 |
| Pubmed ID | |
| Authors |
Linhai Wang, Xuelian Han, Yanxin Zhang, Donghua Li, Xin Wei, Xia Ding, Xiurong Zhang |
| Abstract |
Characterization of genome-wide patterns of allelic variation and linkage disequilibrium can be used to detect reliable phenotype-genotype associations and signatures of molecular selection. However, the use of Sesamum indicum germplasm for breeding is limited by the lack of polymorphism data. |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| France | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Ph. D. Student | 7 | 20% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 66% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 14% |
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 21 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from BMC Plant Biology
#2,083
of 3,236 outputs
Outputs of similar age
#167,939
of 235,611 outputs
Outputs of similar age from BMC Plant Biology
#31
of 58 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,236 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 235,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.