| Title |
Predictive Modeling in a Polyhedral Optimization Space
|
|---|---|
| Published in |
International Journal of Parallel Programming, February 2013
|
| DOI | 10.1007/s10766-013-0241-1 |
| Authors |
Eunjung Park, John Cavazos, Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, P. Sadayappan |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 3% |
| United States | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 40% |
| Researcher | 9 | 15% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 12% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 75% |
| Engineering | 6 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Psychology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 6 | 10% |
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 02 February 2021.
All research outputs
#7,565,251
of 23,075,872 outputs
Outputs from International Journal of Parallel Programming
#30
of 170 outputs
Outputs of similar age
#64,913
of 193,860 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 1 outputs
Altmetric has tracked 23,075,872 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 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 24th percentile – i.e., 24% 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 193,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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