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Scheduling on Unrelated Machines under Tree-Like Precedence Constraints

Overview of attention for article published in Algorithmica, September 2007
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Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
24 Mendeley
Title
Scheduling on Unrelated Machines under Tree-Like Precedence Constraints
Published in
Algorithmica, September 2007
DOI 10.1007/s00453-007-9004-y
Authors

V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Other 3 13%
Student > Doctoral Student 3 13%
Professor > Associate Professor 3 13%
Researcher 3 13%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 13 54%
Engineering 4 17%
Mathematics 2 8%
Business, Management and Accounting 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 2 8%
Attention Score in Context

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 27 January 2012.
All research outputs
#12,852,960
of 22,662,201 outputs
Outputs from Algorithmica
#300
of 417 outputs
Outputs of similar age
#57,948
of 69,931 outputs
Outputs of similar age from Algorithmica
#12
of 14 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 417 research outputs from this source. They receive a mean Attention Score of 3.7. 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 69,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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 is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.