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Development and validation of genic-SSR markers in sesame by RNA-seq

Overview of attention for article published in BMC Genomics, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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2 X users
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1 patent

Citations

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Title
Development and validation of genic-SSR markers in sesame by RNA-seq
Published in
BMC Genomics, July 2012
DOI 10.1186/1471-2164-13-316
Pubmed ID
Authors

Haiyang Zhang, Libin Wei, Hongmei Miao, Tide Zhang, Cuiying Wang

Abstract

Sesame (Sesamum indicum L.) is one of the most important oil crops; however, a lack of useful molecular markers hinders current genetic research. We performed transcriptome sequencing of samples from different sesame growth and developmental stages, and mining of genic-SSR markers to identify valuable markers for sesame molecular genetics research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
India 2 2%
Austria 1 <1%
Paraguay 1 <1%
Canada 1 <1%
Egypt 1 <1%
United States 1 <1%
Unknown 103 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 18 16%
Student > Master 10 9%
Professor > Associate Professor 7 6%
Student > Bachelor 6 5%
Other 20 18%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 71%
Biochemistry, Genetics and Molecular Biology 12 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 April 2022.
All research outputs
#7,778,510
of 25,373,627 outputs
Outputs from BMC Genomics
#3,316
of 11,244 outputs
Outputs of similar age
#53,840
of 177,873 outputs
Outputs of similar age from BMC Genomics
#39
of 166 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 177,873 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 69% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.