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A modified cluster-head selection algorithm in wireless sensor networks based on LEACH

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, December 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
42 Mendeley
Title
A modified cluster-head selection algorithm in wireless sensor networks based on LEACH
Published in
EURASIP Journal on Wireless Communications and Networking, December 2018
DOI 10.1186/s13638-018-1299-7
Authors

Liang Zhao, Shaocheng Qu, Yufan Yi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 12%
Lecturer 4 10%
Student > Ph. D. Student 3 7%
Student > Master 3 7%
Student > Postgraduate 2 5%
Other 6 14%
Unknown 19 45%
Readers by discipline Count As %
Computer Science 14 33%
Engineering 7 17%
Earth and Planetary Sciences 1 2%
Unspecified 1 2%
Unknown 19 45%
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 November 2022.
All research outputs
#8,685,999
of 25,738,558 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#106
of 559 outputs
Outputs of similar age
#164,752
of 447,512 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#4
of 11 outputs
Altmetric has tracked 25,738,558 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 559 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 52% 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 447,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.