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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-genome alignment for quality control and contamination screening of next-generation sequencing data
|
|---|---|
| Published in |
Frontiers in Genetics, January 2014
|
| DOI | 10.3389/fgene.2014.00031 |
| Pubmed ID | |
| Authors |
James Hadfield, Matthew D. Eldridge |
| Abstract |
The availability of massive amounts of DNA sequence data, from 1000s of genomes even in a single project has had a huge impact on our understanding of biology, but also creates several problems for biologists carrying out those experiments. Bioinformatic analysis of sequence data is perhaps the most obvious challenge but upstream of this even basic quality control of sequence run performance is challenging for many users given the volume of data. Users need to be able to assess run quality efficiently so that only high-quality data are passed through to computationally-, financially-, and time-intensive processes. There is a clear need to make human review of sequence data as efficient as possible. The multi-genome alignment tool presented here presents next-generation sequencing run data in visual and tabular formats simplifying assessment of run yield and quality, as well as presenting some sample-based quality metrics and screening for contamination from adapter sequences and species other than the one being sequenced. |
X Demographics
The data shown below were collected from the profiles of 32 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 | 8 | 25% |
| United Kingdom | 7 | 22% |
| Australia | 2 | 6% |
| Germany | 2 | 6% |
| New Zealand | 1 | 3% |
| Switzerland | 1 | 3% |
| Japan | 1 | 3% |
| India | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 3 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 50% |
| Scientists | 14 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 6% |
| United States | 3 | 2% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Argentina | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 119 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 27% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Bachelor | 19 | 14% |
| Student > Master | 13 | 10% |
| Other | 13 | 10% |
| Other | 25 | 19% |
| Unknown | 7 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 40% |
| Biochemistry, Genetics and Molecular Biology | 41 | 31% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 8 | 6% |
| Engineering | 3 | 2% |
| Other | 9 | 7% |
| Unknown | 10 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 01 August 2019.
All research outputs
#1,260,443
of 25,405,598 outputs
Outputs from Frontiers in Genetics
#222
of 13,705 outputs
Outputs of similar age
#13,655
of 319,386 outputs
Outputs of similar age from Frontiers in Genetics
#5
of 54 outputs
Altmetric has tracked 25,405,598 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 13,705 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 319,386 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 95% 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 particularly well, scoring higher than 92% of its contemporaries.