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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 25% |
Chile | 1 | 13% |
United States | 1 | 13% |
Norway | 1 | 13% |
Spain | 1 | 13% |
Germany | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 75% |
Members of the public | 2 | 25% |
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
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.