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Mendeley readers
Attention Score in Context
Title |
Error statistics of hidden Markov model and hidden Boltzmann model results
|
---|---|
Published in |
BMC Bioinformatics, July 2009
|
DOI | 10.1186/1471-2105-10-212 |
Pubmed ID | |
Authors |
Lee A Newberg |
Abstract |
Hidden Markov models and hidden Boltzmann models are employed in computational biology and a variety of other scientific fields for a variety of analyses of sequential data. Whether the associated algorithms are used to compute an actual probability or, more generally, an odds ratio or some other score, a frequent requirement is that the error statistics of a given score be known. What is the chance that random data would achieve that score or better? What is the chance that a real signal would achieve a given score threshold? |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 5% |
France | 1 | 1% |
Brazil | 1 | 1% |
Sweden | 1 | 1% |
Denmark | 1 | 1% |
Greece | 1 | 1% |
United States | 1 | 1% |
Unknown | 67 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 19% |
Researcher | 11 | 14% |
Student > Master | 7 | 9% |
Professor > Associate Professor | 5 | 6% |
Student > Bachelor | 3 | 4% |
Other | 9 | 12% |
Unknown | 27 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 19% |
Computer Science | 11 | 14% |
Engineering | 9 | 12% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Mathematics | 2 | 3% |
Other | 8 | 10% |
Unknown | 28 | 36% |
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 29 April 2015.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,277 outputs
Outputs of similar age
#37,086
of 109,932 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 33 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 109,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.