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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A hybrid short read mapping accelerator
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-67 |
| Pubmed ID | |
| Authors |
Yupeng Chen, Bertil Schmidt, Douglas L Maskell |
| Abstract |
The rapid growth of short read datasets poses a new challenge to the short read mapping problem in terms of sensitivity and execution speed. Existing methods often use a restrictive error model for computing the alignments to improve speed, whereas more flexible error models are generally too slow for large-scale applications. A number of short read mapping software tools have been proposed. However, designs based on hardware are relatively rare. Field programmable gate arrays (FPGAs) have been successfully used in a number of specific application areas, such as the DSP and communications domains due to their outstanding parallel data processing capabilities, making them a competitive platform to solve problems that are "inherently parallel". |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 17% |
| United States | 1 | 17% |
| Germany | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| France | 2 | 4% |
| Germany | 1 | 2% |
| Russia | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 38 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 36% |
| Student > Ph. D. Student | 11 | 24% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 2 | 4% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 33% |
| Computer Science | 13 | 29% |
| Engineering | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Medicine and Dentistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 November 2014.
All research outputs
#12,678,664
of 22,699,621 outputs
Outputs from BMC Bioinformatics
#3,620
of 7,254 outputs
Outputs of similar age
#97,664
of 192,953 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 159 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 192,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.