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A second generation framework for the analysis of microsatellites in expressed sequence tags and the development of EST-SSR markers for a conifer, Cryptomeria japonica

Overview of attention for article published in BMC Genomics, April 2012
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1 X user

Citations

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Title
A second generation framework for the analysis of microsatellites in expressed sequence tags and the development of EST-SSR markers for a conifer, Cryptomeria japonica
Published in
BMC Genomics, April 2012
DOI 10.1186/1471-2164-13-136
Pubmed ID
Authors

Saneyoshi Ueno, Yoshinari Moriguchi, Kentaro Uchiyama, Tokuko Ujino-Ihara, Norihiro Futamura, Tetsuya Sakurai, Kenji Shinohara, Yoshihiko Tsumura

Abstract

Microsatellites or simple sequence repeats (SSRs) in expressed sequence tags (ESTs) are useful resources for genome analysis because of their abundance, functionality and polymorphism. The advent of commercial second generation sequencing machines has lead to new strategies for developing EST-SSR markers, necessitating the development of bioinformatic framework that can keep pace with the increasing quality and quantity of sequence data produced. We describe an open scheme for analyzing ESTs and developing EST-SSR markers from reads collected by Sanger sequencing and pyrosequencing of sugi (Cryptomeria japonica).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 4%
France 2 4%
Netherlands 1 2%
Chile 1 2%
Spain 1 2%
Brazil 1 2%
Unknown 42 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 30%
Student > Ph. D. Student 14 28%
Student > Master 4 8%
Student > Doctoral Student 4 8%
Librarian 2 4%
Other 3 6%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 62%
Biochemistry, Genetics and Molecular Biology 8 16%
Environmental Science 1 2%
Unknown 10 20%
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 12 June 2013.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#104,599
of 160,167 outputs
Outputs of similar age from BMC Genomics
#53
of 96 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 160,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.