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A fork-join queueing model: Diffusion approximation, integral representations and asymptotics

Overview of attention for article published in Queueing Systems, September 1996
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About this Attention Score

  • Among the highest-scoring outputs from this source (#14 of 115)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
3 Mendeley
Title
A fork-join queueing model: Diffusion approximation, integral representations and asymptotics
Published in
Queueing Systems, September 1996
DOI 10.1007/bf01149176
Authors

Xiaoming Tan, Charles Knessl

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Bachelor 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Computer Science 1 33%
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 10 February 2013.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Queueing Systems
#14
of 115 outputs
Outputs of similar age
#8,627
of 28,742 outputs
Outputs of similar age from Queueing Systems
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 115 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 53% 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 28,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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