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Genetic analysis and molecular characterization of Chinese sesame (Sesamum indicum L.) cultivars using Insertion-Deletion (InDel) and Simple Sequence Repeat (SSR) markers

Overview of attention for article published in BMC Genomic Data, March 2014
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Mentioned by

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1 X user

Citations

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73 Dimensions

Readers on

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79 Mendeley
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Title
Genetic analysis and molecular characterization of Chinese sesame (Sesamum indicum L.) cultivars using Insertion-Deletion (InDel) and Simple Sequence Repeat (SSR) markers
Published in
BMC Genomic Data, March 2014
DOI 10.1186/1471-2156-15-35
Pubmed ID
Authors

Kun Wu, Minmin Yang, Hongyan Liu, Ye Tao, Ju Mei, Yingzhong Zhao

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Paraguay 1 1%
United States 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 15 19%
Student > Master 6 8%
Lecturer 4 5%
Professor > Associate Professor 4 5%
Other 8 10%
Unknown 24 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 53%
Biochemistry, Genetics and Molecular Biology 6 8%
Computer Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Earth and Planetary Sciences 1 1%
Other 0 0%
Unknown 27 34%
Attention Score in Context

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 19 March 2014.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from BMC Genomic Data
#884
of 1,222 outputs
Outputs of similar age
#179,646
of 240,990 outputs
Outputs of similar age from BMC Genomic Data
#11
of 22 outputs
Altmetric has tracked 26,017,215 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 1,222 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 15th percentile – i.e., 15% 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 240,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.