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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adaptable probabilistic mapping of short reads using position specific scoring matrices
|
|---|---|
| Published in |
BMC Bioinformatics, April 2014
|
| DOI | 10.1186/1471-2105-15-100 |
| Pubmed ID | |
| Authors |
Peter Kerpedjiev, Jes Frellsen, Stinus Lindgreen, Anders Krogh |
| Abstract |
Modern DNA sequencing methods produce vast amounts of data that often requires mapping to a reference genome. Most existing programs use the number of mismatches between the read and the genome as a measure of quality. This approach is without a statistical foundation and can for some data types result in many wrongly mapped reads. Here we present a probabilistic mapping method based on position-specific scoring matrices, which can take into account not only the quality scores of the reads but also user-specified models of evolution and data-specific biases. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 4 | 19% |
| United Kingdom | 3 | 14% |
| Japan | 2 | 10% |
| Australia | 1 | 5% |
| Mexico | 1 | 5% |
| Poland | 1 | 5% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Norway | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 52% |
| Members of the public | 9 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Denmark | 2 | 2% |
| Sweden | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 82 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 31% |
| Researcher | 27 | 29% |
| Student > Master | 13 | 14% |
| Professor > Associate Professor | 6 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 48% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Computer Science | 13 | 14% |
| Medicine and Dentistry | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 April 2017.
All research outputs
#2,905,247
of 24,862,067 outputs
Outputs from BMC Bioinformatics
#860
of 7,597 outputs
Outputs of similar age
#28,484
of 233,539 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 118 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,597 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 well, scoring higher than 88% 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 233,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.