| Title |
Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-224 |
| Pubmed ID | |
| Authors |
Alexander Churbanov, Stephen Winters-Hilt |
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 % |
|---|---|---|
| Unknown | 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Denmark | 2 | 2% |
| United Kingdom | 1 | 1% |
| Switzerland | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 90 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Researcher | 17 | 18% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 8 | 8% |
| Professor > Associate Professor | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 34% |
| Agricultural and Biological Sciences | 17 | 18% |
| Engineering | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Mathematics | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 August 2020.
All research outputs
#4,456,828
of 24,742,536 outputs
Outputs from BMC Bioinformatics
#1,614
of 7,580 outputs
Outputs of similar age
#14,220
of 84,103 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 55 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,580 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 done well, scoring higher than 78% 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 84,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.