| Title |
Algorithms and analyses for maximal vector computation
|
|---|---|
| Published in |
The VLDB Journal, September 2006
|
| DOI | 10.1007/s00778-006-0029-7 |
| Authors |
Parke Godfrey, Ryan Shipley, Jarek Gryz |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Switzerland | 1 | 2% |
| Brazil | 1 | 2% |
| Austria | 1 | 2% |
| Japan | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 54 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 30% |
| Professor > Associate Professor | 9 | 14% |
| Researcher | 9 | 14% |
| Student > Master | 8 | 13% |
| Professor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 57% |
| Engineering | 12 | 19% |
| Physics and Astronomy | 2 | 3% |
| Materials Science | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 6 | 10% |
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 08 October 2021.
All research outputs
#4,981,964
of 23,842,189 outputs
Outputs from The VLDB Journal
#40
of 366 outputs
Outputs of similar age
#12,626
of 68,345 outputs
Outputs of similar age from The VLDB Journal
#1
of 14 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 77% 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 68,345 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 71% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.