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A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, February 2021
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Mentioned by

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1 X user

Citations

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143 Dimensions

Readers on

mendeley
267 Mendeley
Title
A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
Published in
EURASIP Journal on Wireless Communications and Networking, February 2021
DOI 10.1186/s13638-021-01910-w
Authors

Congming Shi, Bingtao Wei, Shoulin Wei, Wen Wang, Hai Liu, Jialei Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 267 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 10%
Student > Master 26 10%
Researcher 19 7%
Lecturer 19 7%
Student > Bachelor 15 6%
Other 32 12%
Unknown 129 48%
Readers by discipline Count As %
Computer Science 43 16%
Engineering 29 11%
Mathematics 11 4%
Environmental Science 7 3%
Unspecified 7 3%
Other 34 13%
Unknown 136 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 July 2021.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#296
of 549 outputs
Outputs of similar age
#349,589
of 557,742 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#6
of 10 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 35th percentile – i.e., 35% 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 557,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.