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Mendeley readers
Attention Score in Context
| Title |
Heuristic Reusable Dynamic Programming: Efficient Updates of Local Sequence Alignment
|
|---|---|
| Published in |
IEEE/ACM Transactions on Computational Biology and Bioinformatics, March 2009
|
| DOI | 10.1109/tcbb.2009.30 |
| Pubmed ID | |
| Authors |
Changjin Hong, Ahmed H. Tewfik |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 13 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Professor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 40% |
| Agricultural and Biological Sciences | 4 | 27% |
| Business, Management and Accounting | 1 | 7% |
| Psychology | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
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 23 December 2014.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE/ACM Transactions on Computational Biology and Bioinformatics
#189
of 1,081 outputs
Outputs of similar age
#38,419
of 108,071 outputs
Outputs of similar age from IEEE/ACM Transactions on Computational Biology and Bioinformatics
#2
of 3 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,081 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 69% 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 108,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.