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X Demographics
Mendeley readers
Attention Score in Context
Title |
New finite-size correction for local alignment score distributions
|
---|---|
Published in |
BMC Research Notes, June 2012
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DOI | 10.1186/1756-0500-5-286 |
Pubmed ID | |
Authors |
Yonil Park, Sergey Sheetlin, Ning Ma, Thomas L Madden, John L Spouge |
Abstract |
Local alignment programs often calculate the probability that a match occurred by chance. The calculation of this probability may require a "finite-size" correction to the lengths of the sequences, as an alignment that starts near the end of either sequence may run out of sequence before achieving a significant score. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 43% |
Austria | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 2 | 7% |
Japan | 1 | 3% |
Croatia | 1 | 3% |
United States | 1 | 3% |
Unknown | 24 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 31% |
Student > Bachelor | 4 | 14% |
Student > Master | 3 | 10% |
Professor > Associate Professor | 2 | 7% |
Researcher | 2 | 7% |
Other | 4 | 14% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 48% |
Biochemistry, Genetics and Molecular Biology | 5 | 17% |
Computer Science | 5 | 17% |
Neuroscience | 1 | 3% |
Unknown | 4 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 December 2017.
All research outputs
#6,507,131
of 24,037,100 outputs
Outputs from BMC Research Notes
#962
of 4,357 outputs
Outputs of similar age
#44,422
of 169,803 outputs
Outputs of similar age from BMC Research Notes
#22
of 86 outputs
Altmetric has tracked 24,037,100 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,357 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 77% 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 169,803 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 73% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.