A taxonomy of scheduling in general-purpose distributed computing systems

Overview of attention for article published in IEEE Transactions on Software Engineering, January 1988

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About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (93rd percentile)
High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

patent: 33 patents

Readers on

mendeley: 261 Mendeley
citeulike: 6 CiteULike

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Article details
Title	A taxonomy of scheduling in general-purpose distributed computing systems
Published in	IEEE Transactions on Software Engineering, January 1988
DOI	10.1109/32.4634
Authors	T.L. Casavant, J.G. Kuhl

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Timeline

Activity

Mendeley demographics

The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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Geographical breakdown

Geographical breakdown
Country	Count	As %
United States	8	3%
Portugal	2	<1%
France	2	<1%
Saudi Arabia	1	<1%
Malaysia	1	<1%
Kenya	1	<1%
Japan	1	<1%
Italy	1	<1%
India	1	<1%
Other	7	3%
Unknown	236	90%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Student > Ph. D. Student	79	30%
Student > Master	59	23%
Researcher	24	9%
Student > Doctoral Student	16	6%
Student > Bachelor	15	6%
Other	43	16%
Unknown	25	10%

Readers by discipline
Readers by discipline	Count	As %
Computer Science	185	71%
Engineering	30	11%
Business, Management and Accounting	9	3%
Agricultural and Biological Sciences	2	<1%
Decision Sciences	2	<1%
Other	2	<1%
Unknown	31	12%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 December 2025.

All research outputs

#4,585,058

of 30,539,290 outputs

Outputs from IEEE Transactions on Software Engineering

#733

of 7,023 outputs

Outputs of similar age

#2,464

of 57,108 outputs

Outputs of similar age from IEEE Transactions on Software Engineering

of 53 outputs

Altmetric has tracked 30,539,290 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 7,023 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 84% 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 57,108 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 93% of its contemporaries.

We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.