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Mendeley readers
Attention Score in Context
Title |
Diminishing return for increased Mappability with longer sequencing reads: implications of the k-mer distributions in the human genome
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Published in |
BMC Bioinformatics, January 2014
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DOI | 10.1186/1471-2105-15-2 |
Pubmed ID | |
Authors |
Wentian Li, Jan Freudenberg, Pedro Miramontes |
Abstract |
The amount of non-unique sequence (non-singletons) in a genome directly affects the difficulty of read alignment to a reference assembly for high throughput-sequencing data. Although a longer read is more likely to be uniquely mapped to the reference genome, a quantitative analysis of the influence of read lengths on mappability has been lacking. To address this question, we evaluate the k-mer distribution of the human reference genome. The k-mer frequency is determined for k ranging from 20 bp to 1000 bp. |
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 Kingdom | 7 | 22% |
United States | 7 | 22% |
Canada | 2 | 6% |
Norway | 2 | 6% |
Austria | 1 | 3% |
France | 1 | 3% |
Netherlands | 1 | 3% |
Unknown | 11 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 19 | 59% |
Members of the public | 11 | 34% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
United Kingdom | 3 | 3% |
India | 1 | 1% |
Brazil | 1 | 1% |
Russia | 1 | 1% |
Sweden | 1 | 1% |
Unknown | 87 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 31% |
Student > Ph. D. Student | 20 | 20% |
Student > Master | 10 | 10% |
Professor | 7 | 7% |
Student > Bachelor | 7 | 7% |
Other | 19 | 19% |
Unknown | 5 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 42% |
Biochemistry, Genetics and Molecular Biology | 20 | 20% |
Computer Science | 12 | 12% |
Medicine and Dentistry | 5 | 5% |
Physics and Astronomy | 3 | 3% |
Other | 11 | 11% |
Unknown | 6 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 30 December 2021.
All research outputs
#1,291,904
of 24,001,212 outputs
Outputs from BMC Bioinformatics
#165
of 7,492 outputs
Outputs of similar age
#14,800
of 312,673 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 108 outputs
Altmetric has tracked 24,001,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,492 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 312,673 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 108 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.