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ESTclean: a cleaning tool for next-gen transcriptome shotgun sequencing

Overview of attention for article published in BMC Bioinformatics, September 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
5 CiteULike
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Title
ESTclean: a cleaning tool for next-gen transcriptome shotgun sequencing
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-247
Pubmed ID
Authors

Hongseok Tae, Dongsung Ryu, Suhas Sureshchandra, Jeong-Hyeon Choi

Abstract

With the advent of next-generation sequencing (NGS) technologies, full cDNA shotgun sequencing has become a major approach in the study of transcriptomes, and several different protocols in 454 sequencing have been invented. As each protocol uses its own short DNA tags or adapters attached to the ends of cDNA fragments for labeling or sequencing, different contaminants may lead to mis-assembly and inaccurate sequence products.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 7%
United States 2 3%
Korea, Republic of 1 2%
India 1 2%
United Kingdom 1 2%
Canada 1 2%
Sweden 1 2%
Mexico 1 2%
Slovenia 1 2%
Other 2 3%
Unknown 43 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 41%
Student > Ph. D. Student 10 17%
Professor > Associate Professor 6 10%
Student > Master 6 10%
Professor 3 5%
Other 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 67%
Computer Science 8 14%
Biochemistry, Genetics and Molecular Biology 6 10%
Engineering 2 3%
Sports and Recreations 1 2%
Other 1 2%
Unknown 1 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 22 June 2013.
All research outputs
#1,891,721
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#443
of 7,400 outputs
Outputs of similar age
#12,525
of 173,145 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 104 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 93% 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 173,145 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.