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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hidden Markov model speed heuristic and iterative HMM search procedure
|
|---|---|
| Published in |
BMC Bioinformatics, August 2010
|
| DOI | 10.1186/1471-2105-11-431 |
| Pubmed ID | |
| Authors |
L Steven Johnson, Sean R Eddy, Elon Portugaly |
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 677 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| Germany | 3 | <1% |
| Brazil | 3 | <1% |
| Italy | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 2 | <1% |
| Uruguay | 1 | <1% |
| Switzerland | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 10 | 1% |
| Unknown | 642 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 160 | 24% |
| Researcher | 102 | 15% |
| Student > Master | 101 | 15% |
| Student > Bachelor | 55 | 8% |
| Student > Doctoral Student | 44 | 6% |
| Other | 90 | 13% |
| Unknown | 125 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 222 | 33% |
| Biochemistry, Genetics and Molecular Biology | 162 | 24% |
| Computer Science | 55 | 8% |
| Engineering | 16 | 2% |
| Environmental Science | 15 | 2% |
| Other | 64 | 9% |
| Unknown | 143 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 18 January 2024.
All research outputs
#3,239,398
of 25,323,244 outputs
Outputs from BMC Bioinformatics
#1,028
of 7,672 outputs
Outputs of similar age
#12,313
of 101,603 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 45 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 86% 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 101,603 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 87% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.