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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants
|
|---|---|
| Published in |
Nucleic Acids Research, December 2009
|
| DOI | 10.1093/nar/gkp1137 |
| Pubmed ID | |
| Authors |
Peter J. A. Cock, Christopher J. Fields, Naohisa Goto, Michael L. Heuer, Peter M. Rice |
| Abstract |
FASTQ has emerged as a common file format for sharing sequencing read data combining both the sequence and an associated per base quality score, despite lacking any formal definition to date, and existing in at least three incompatible variants. This article defines the FASTQ format, covering the original Sanger standard, the Solexa/Illumina variants and conversion between them, based on publicly available information such as the MAQ documentation and conventions recently agreed by the Open Bioinformatics Foundation projects Biopython, BioPerl, BioRuby, BioJava and EMBOSS. Being an open access publication, it is hoped that this description, with the example files provided as Supplementary Data, will serve in future as a reference for this important file format. |
X Demographics
The data shown below were collected from the profiles of 48 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 | 13 | 27% |
| United Kingdom | 9 | 19% |
| Canada | 3 | 6% |
| Norway | 3 | 6% |
| Australia | 2 | 4% |
| Germany | 2 | 4% |
| Japan | 1 | 2% |
| Ireland | 1 | 2% |
| France | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 65% |
| Members of the public | 17 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 52 | 2% |
| United Kingdom | 26 | 1% |
| Germany | 25 | 1% |
| France | 14 | <1% |
| Brazil | 13 | <1% |
| Italy | 11 | <1% |
| China | 8 | <1% |
| Spain | 5 | <1% |
| Canada | 5 | <1% |
| Other | 60 | 3% |
| Unknown | 2079 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 494 | 21% |
| Researcher | 446 | 19% |
| Student > Master | 364 | 16% |
| Student > Bachelor | 265 | 12% |
| Student > Doctoral Student | 110 | 5% |
| Other | 291 | 13% |
| Unknown | 328 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 961 | 42% |
| Biochemistry, Genetics and Molecular Biology | 480 | 21% |
| Computer Science | 193 | 8% |
| Medicine and Dentistry | 78 | 3% |
| Engineering | 44 | 2% |
| Other | 171 | 7% |
| Unknown | 371 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 02 April 2024.
All research outputs
#846,446
of 25,728,855 outputs
Outputs from Nucleic Acids Research
#363
of 27,703 outputs
Outputs of similar age
#2,960
of 174,787 outputs
Outputs of similar age from Nucleic Acids Research
#1
of 162 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,703 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 98% 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 174,787 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 98% of its contemporaries.
We're also able to compare this research output to 162 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 99% of its contemporaries.