| Title |
Using quality scores and longer reads improves accuracy of Solexa read mapping
|
|---|---|
| Published in |
BMC Bioinformatics, February 2008
|
| DOI | 10.1186/1471-2105-9-128 |
| Pubmed ID | |
| Authors |
Andrew D Smith, Zhenyu Xuan, Michael Q Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 4% |
| United Kingdom | 7 | 2% |
| Germany | 5 | 1% |
| France | 3 | <1% |
| Italy | 3 | <1% |
| Brazil | 3 | <1% |
| Australia | 2 | <1% |
| Sweden | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 9 | 2% |
| Unknown | 331 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 92 | 24% |
| Student > Ph. D. Student | 72 | 19% |
| Student > Master | 46 | 12% |
| Student > Doctoral Student | 29 | 8% |
| Student > Bachelor | 29 | 8% |
| Other | 85 | 22% |
| Unknown | 27 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 195 | 51% |
| Computer Science | 64 | 17% |
| Biochemistry, Genetics and Molecular Biology | 50 | 13% |
| Medicine and Dentistry | 12 | 3% |
| Engineering | 5 | 1% |
| Other | 19 | 5% |
| Unknown | 35 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 October 2021.
All research outputs
#15,524,695
of 23,073,835 outputs
Outputs from BMC Bioinformatics
#5,407
of 7,323 outputs
Outputs of similar age
#68,160
of 79,931 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 46 outputs
Altmetric has tracked 23,073,835 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,323 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 18th percentile – i.e., 18% 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 79,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.