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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequencing quality assessment tools to enable data-driven informatics for high throughput genomics
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00288 |
| Pubmed ID | |
| Authors |
Richard M. Leggett, Ricardo H. Ramirez-Gonzalez, Bernardo J. Clavijo, Darren Waite, Robert P. Davey |
| Abstract |
The processes of quality assessment and control are an active area of research at The Genome Analysis Centre (TGAC). Unlike other sequencing centers that often concentrate on a certain species or technology, TGAC applies expertise in genomics and bioinformatics to a wide range of projects, often requiring bespoke wet lab and in silico workflows. TGAC is fortunate to have access to a diverse range of sequencing and analysis platforms, and we are at the forefront of investigations into library quality and sequence data assessment. We have developed and implemented a number of algorithms, tools, pipelines and packages to ascertain, store, and expose quality metrics across a number of next-generation sequencing platforms, allowing rapid and in-depth cross-platform Quality Control (QC) bioinformatics. In this review, we describe these tools as a vehicle for data-driven informatics, offering the potential to provide richer context for downstream analysis and to inform experimental design. |
X Demographics
The data shown below were collected from the profiles of 45 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 Kingdom | 12 | 27% |
| United States | 9 | 20% |
| France | 3 | 7% |
| Switzerland | 3 | 7% |
| Netherlands | 2 | 4% |
| Canada | 2 | 4% |
| Germany | 1 | 2% |
| Norway | 1 | 2% |
| India | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 9 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 62% |
| Members of the public | 16 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 2% |
| Netherlands | 3 | <1% |
| Italy | 3 | <1% |
| United States | 3 | <1% |
| Argentina | 2 | <1% |
| Brazil | 2 | <1% |
| France | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 385 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 82 | 20% |
| Student > Master | 59 | 14% |
| Student > Bachelor | 58 | 14% |
| Student > Ph. D. Student | 55 | 13% |
| Student > Postgraduate | 22 | 5% |
| Other | 48 | 12% |
| Unknown | 89 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 142 | 34% |
| Biochemistry, Genetics and Molecular Biology | 100 | 24% |
| Computer Science | 14 | 3% |
| Medicine and Dentistry | 13 | 3% |
| Immunology and Microbiology | 11 | 3% |
| Other | 35 | 8% |
| Unknown | 98 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 08 October 2015.
All research outputs
#1,099,773
of 25,706,302 outputs
Outputs from Frontiers in Genetics
#184
of 13,781 outputs
Outputs of similar age
#8,859
of 290,780 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 318 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,781 research outputs from this source. They receive a mean Attention Score of 3.8. 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 290,780 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 96% of its contemporaries.
We're also able to compare this research output to 318 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 98% of its contemporaries.