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Hyper-Erlang Distribution Model and its Application in Wireless Mobile Networks

Overview of attention for article published in Wireless Networks, May 2001
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
29 Mendeley
Title
Hyper-Erlang Distribution Model and its Application in Wireless Mobile Networks
Published in
Wireless Networks, May 2001
DOI 10.1023/a:1016617904269
Authors

Yuguang Fang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Brazil 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 45%
Student > Master 5 17%
Researcher 2 7%
Professor > Associate Professor 2 7%
Other 1 3%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Computer Science 15 52%
Engineering 6 21%
Mathematics 3 10%
Chemistry 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 3 10%
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 03 September 2018.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Wireless Networks
#113
of 406 outputs
Outputs of similar age
#14,304
of 42,351 outputs
Outputs of similar age from Wireless Networks
#1
of 1 outputs
Altmetric has tracked 25,371,288 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 406 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 26th percentile – i.e., 26% 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 42,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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