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X Demographics
Mendeley readers
Attention Score in Context
Title |
SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data
|
---|---|
Published in |
BMC Bioinformatics, September 2010
|
DOI | 10.1186/1471-2105-11-485 |
Pubmed ID | |
Authors |
Murray P Cox, Daniel A Peterson, Patrick J Biggs |
Abstract |
Illumina's second-generation sequencing platform is playing an increasingly prominent role in modern DNA and RNA sequencing efforts. However, rapid, simple, standardized and independent measures of run quality are currently lacking, as are tools to process sequences for use in downstream applications based on read-level quality data. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 794 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
Germany | 6 | <1% |
New Zealand | 4 | <1% |
Sweden | 4 | <1% |
France | 3 | <1% |
Italy | 3 | <1% |
Norway | 3 | <1% |
Netherlands | 3 | <1% |
United Kingdom | 3 | <1% |
Other | 20 | 3% |
Unknown | 733 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 193 | 24% |
Researcher | 164 | 21% |
Student > Master | 123 | 15% |
Student > Bachelor | 59 | 7% |
Student > Doctoral Student | 47 | 6% |
Other | 117 | 15% |
Unknown | 91 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 418 | 53% |
Biochemistry, Genetics and Molecular Biology | 105 | 13% |
Computer Science | 37 | 5% |
Environmental Science | 34 | 4% |
Medicine and Dentistry | 21 | 3% |
Other | 67 | 8% |
Unknown | 112 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 June 2023.
All research outputs
#3,738,793
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,237
of 7,793 outputs
Outputs of similar age
#15,251
of 112,502 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 54 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 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 well, scoring higher than 83% 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 112,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.