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Mendeley readers
Attention Score in Context
| Title |
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
|
|---|---|
| Published in |
BMC Bioinformatics, September 2006
|
| DOI | 10.1186/1471-2105-7-s2-s22 |
| Pubmed ID | |
| Authors |
Stephen Winters-Hilt, Matthew Landry, Mark Akeson, Maria Tanase, Iftekhar Amin, Amy Coombs, Eric Morales, John Millet, Carl Baribault, Srikanth Sendamangalam |
| Abstract |
Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This information is derived from observation of changes in ionic channel current blockade "signal" upon that molecule's interaction with (and occlusion of) a single nanometer-scale channel in a "nanopore detector". In effect, a nanopore detector transduces single molecule events into channel current blockades. HMM analysis tools described are used to help systematically explore DNA dinucleotide flexibility, with particular focus on HIV's highly conserved (and highly flexible/reactive) viral DNA termini. One of the most critical stages in HIV's attack is the binding between viral DNA and the retroviral integrase, which is influenced by the dynamic-coupling induced high flexibility of a CA/TG dinucleotide positioned precisely two base-pairs from the blunt terminus of the duplex viral DNA. This suggests the study of a family of such CA/TG dinucleotide molecules via nanopore measurement and cheminformatics analysis. HMMs are used for level identification on the current blockades, HMM/EM with boosted variance emissions are used for level projection pre-processing, and time-domain FSAs are used to parse the level-projected waveform for kinetic information. The observed state kinetics of the DNA hairpins containing the CA/TG dinucleotide provides clear evidence for HIV's selection of a peculiarly flexible/interactive DNA terminus. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 4 | 25% |
| Professor > Associate Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 25% |
| Chemistry | 3 | 19% |
| Agricultural and Biological Sciences | 3 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 March 2017.
All research outputs
#5,791,756
of 22,961,203 outputs
Outputs from BMC Bioinformatics
#2,152
of 7,306 outputs
Outputs of similar age
#19,553
of 67,705 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 45 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,306 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 70% 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 67,705 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 70% 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 well, scoring higher than 86% of its contemporaries.