| Title |
Optimal online algorithms for MapReduce scheduling on two uniform machines
|
|---|---|
| Published in |
Optimization Letters, January 2019
|
| DOI | 10.1007/s11590-018-01384-8 |
| Authors |
Yiwei Jiang, Ping Zhou, T. C. E. Cheng, Min Ji |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 50% |
| Canada | 1 | 8% |
| Sri Lanka | 1 | 8% |
| Singapore | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Decision Sciences | 2 | 40% |
| Computer Science | 1 | 20% |
| Business, Management and Accounting | 1 | 20% |
| Unknown | 1 | 20% |
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 13 January 2019.
All research outputs
#5,790,876
of 23,122,481 outputs
Outputs from Optimization Letters
#7
of 456 outputs
Outputs of similar age
#117,880
of 437,106 outputs
Outputs of similar age from Optimization Letters
#2
of 6 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 456 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done particularly well, scoring higher than 98% 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 437,106 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 72% of its contemporaries.
We're also able to compare this research output to 6 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.