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X Demographics
Mendeley readers
Attention Score in Context
Title |
Benchmarking tools for the alignment of functional noncoding DNA
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Published in |
BMC Bioinformatics, January 2004
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DOI | 10.1186/1471-2105-5-6 |
Pubmed ID | |
Authors |
Daniel A Pollard, Casey M Bergman, Jens Stoye, Susan E Celniker, Michael B Eisen |
Abstract |
Numerous tools have been developed to align genomic sequences. However, their relative performance in specific applications remains poorly characterized. Alignments of protein-coding sequences typically have been benchmarked against "correct" alignments inferred from structural data. For noncoding sequences, where such independent validation is lacking, simulation provides an effective means to generate "correct" alignments with which to benchmark alignment tools. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 6% |
Australia | 2 | 4% |
Germany | 1 | 2% |
Switzerland | 1 | 2% |
Japan | 1 | 2% |
Spain | 1 | 2% |
Unknown | 39 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 35% |
Student > Ph. D. Student | 10 | 21% |
Professor > Associate Professor | 8 | 17% |
Student > Master | 6 | 13% |
Student > Bachelor | 4 | 8% |
Other | 2 | 4% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 60% |
Biochemistry, Genetics and Molecular Biology | 7 | 15% |
Computer Science | 6 | 13% |
Mathematics | 1 | 2% |
Environmental Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 November 2012.
All research outputs
#7,904,340
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#2,867
of 7,672 outputs
Outputs of similar age
#35,598
of 144,743 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 62 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,672 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 gotten more attention than average, scoring higher than 60% 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 144,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.