You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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 795 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 | 734 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 194 | 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 | 68 | 9% |
| Unknown | 112 | 14% |
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 25 April 2024.
All research outputs
#2,189,647
of 25,784,004 outputs
Outputs from BMC Bioinformatics
#493
of 7,746 outputs
Outputs of similar age
#8,032
of 108,713 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 53 outputs
Altmetric has tracked 25,784,004 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 7,746 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 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 108,713 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 53 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 96% of its contemporaries.