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X Demographics
Mendeley readers
Attention Score in Context
Title |
Sequencing error correction without a reference genome
|
---|---|
Published in |
BMC Bioinformatics, December 2013
|
DOI | 10.1186/1471-2105-14-367 |
Pubmed ID | |
Authors |
Julie A Sleep, Andreas W Schreiber, Ute Baumann |
Abstract |
Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors from true biological variants is a challenging task. For organisms without a reference genome this difficulty is even more challenging. |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 19% |
Norway | 2 | 5% |
Australia | 2 | 5% |
France | 2 | 5% |
Sweden | 2 | 5% |
Japan | 2 | 5% |
China | 1 | 3% |
Germany | 1 | 3% |
Canada | 1 | 3% |
Other | 7 | 19% |
Unknown | 10 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 20 | 54% |
Members of the public | 16 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 6% |
Germany | 2 | 2% |
Spain | 2 | 2% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Slovenia | 1 | <1% |
Italy | 1 | <1% |
Denmark | 1 | <1% |
Other | 3 | 2% |
Unknown | 106 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 39 | 31% |
Student > Ph. D. Student | 34 | 27% |
Student > Master | 10 | 8% |
Student > Bachelor | 9 | 7% |
Professor | 7 | 6% |
Other | 15 | 12% |
Unknown | 12 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 46% |
Biochemistry, Genetics and Molecular Biology | 28 | 22% |
Computer Science | 9 | 7% |
Environmental Science | 3 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 10 | 8% |
Unknown | 16 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 11 March 2014.
All research outputs
#1,763,011
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#312
of 7,739 outputs
Outputs of similar age
#19,186
of 322,205 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 111 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 95% 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 322,205 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 94% of its contemporaries.
We're also able to compare this research output to 111 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 93% of its contemporaries.