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Mendeley readers
Attention Score in Context
Title |
Towards a theoretical understanding of false positives in DNA motif finding
|
---|---|
Published in |
BMC Bioinformatics, June 2012
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DOI | 10.1186/1471-2105-13-151 |
Pubmed ID | |
Authors |
Amin Zia, Alan M Moses |
Abstract |
Detection of false-positive motifs is one of the main causes of low performance in de novo DNA motif-finding methods. Despite the substantial algorithm development effort in this area, recent comprehensive benchmark studies revealed that the performance of DNA motif-finders leaves room for improvement in realistic scenarios. |
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 Kingdom | 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
India | 1 | 2% |
France | 1 | 2% |
Japan | 1 | 2% |
Spain | 1 | 2% |
Unknown | 58 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 28% |
Student > Ph. D. Student | 14 | 22% |
Student > Master | 6 | 9% |
Student > Bachelor | 5 | 8% |
Professor > Associate Professor | 4 | 6% |
Other | 11 | 17% |
Unknown | 6 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 36% |
Computer Science | 13 | 20% |
Biochemistry, Genetics and Molecular Biology | 12 | 19% |
Physics and Astronomy | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Other | 4 | 6% |
Unknown | 8 | 13% |
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 28 June 2012.
All research outputs
#15,246,403
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#5,360
of 7,247 outputs
Outputs of similar age
#104,783
of 164,426 outputs
Outputs of similar age from BMC Bioinformatics
#70
of 98 outputs
Altmetric has tracked 22,669,724 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 7,247 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 164,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.