| Title |
Geometric applications of a matrix-searching algorithm
|
|---|---|
| Published in |
Algorithmica, November 1987
|
| DOI | 10.1007/bf01840359 |
| Authors |
Alok Aggarwal, Maria M. Klawe, Shlomo Moran, Peter Shor, Robert Wilber |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| India | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Researcher | 11 | 23% |
| Professor | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Other | 7 | 15% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 51% |
| Mathematics | 5 | 11% |
| Engineering | 5 | 11% |
| Physics and Astronomy | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 August 2022.
All research outputs
#2,994,327
of 23,130,383 outputs
Outputs from Algorithmica
#16
of 420 outputs
Outputs of similar age
#614
of 12,829 outputs
Outputs of similar age from Algorithmica
#1
of 4 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 12,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them