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Attention Score in Context
Title |
Construction of a high-density genetic map for sesame based on large scale marker development by specific length amplified fragment (SLAF) sequencing
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Published in |
BMC Plant Biology, September 2013
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DOI | 10.1186/1471-2229-13-141 |
Pubmed ID | |
Authors |
Yanxin Zhang, Linhai Wang, Huaigen Xin, Donghua Li, Chouxian Ma, Xia Ding, Weiguo Hong, Xiurong Zhang |
Abstract |
The genetics and molecular biology of sesame has only recently begun to be studied even though sesame is an important oil seed crop. A high-density genetic map for sesame has not been published yet due to a lack of sufficient molecular markers. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large-scale de novo SNP discovery and genotyping. SLAF-seq was employed in this study to obtain sufficient markers to construct a high-density genetic map for sesame. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Paraguay | 1 | 25% |
United States | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Paraguay | 1 | 1% |
Italy | 1 | 1% |
Unknown | 72 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 22% |
Researcher | 9 | 12% |
Student > Master | 8 | 11% |
Student > Postgraduate | 7 | 9% |
Professor > Associate Professor | 4 | 5% |
Other | 13 | 17% |
Unknown | 18 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 50% |
Biochemistry, Genetics and Molecular Biology | 9 | 12% |
Unspecified | 4 | 5% |
Environmental Science | 1 | 1% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Other | 2 | 3% |
Unknown | 21 | 28% |
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 07 November 2023.
All research outputs
#6,930,204
of 25,374,917 outputs
Outputs from BMC Plant Biology
#513
of 3,588 outputs
Outputs of similar age
#57,390
of 215,077 outputs
Outputs of similar age from BMC Plant Biology
#5
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,588 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 215,077 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 73% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.