| Title |
Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds
|
|---|---|
| Published in |
International Journal of Computer Vision, June 2015
|
| DOI | 10.1007/s11263-015-0835-8 |
| Authors |
Rushil Anirudh, Pavan Turaga |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Doctoral Student | 2 | 15% |
| Student > Master | 2 | 15% |
| Researcher | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 69% |
| Physics and Astronomy | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 2 | 15% |
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 04 July 2023.
All research outputs
#7,935,898
of 23,896,578 outputs
Outputs from International Journal of Computer Vision
#410
of 1,251 outputs
Outputs of similar age
#91,281
of 267,408 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 7 outputs
Altmetric has tracked 23,896,578 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 1,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 267,408 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 56% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.