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Body weight estimation of yak based on cloud edge computing

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

twitter
1 tweeter

Readers on

mendeley
6 Mendeley
Title
Body weight estimation of yak based on cloud edge computing
Published in
EURASIP Journal on Wireless Communications & Networking, January 2021
DOI 10.1186/s13638-020-01879-y
Authors

Yu-an Zhang, Zijie Sun, Chen Zhang, Shujun Yin, Wenzhi Wang, Rende Song

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Doctoral Student 1 17%
Unknown 4 67%
Readers by discipline Count As %
Computer Science 1 17%
Agricultural and Biological Sciences 1 17%
Unknown 4 67%

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 23 April 2021.
All research outputs
#16,966,937
of 19,180,943 outputs
Outputs from EURASIP Journal on Wireless Communications & Networking
#339
of 510 outputs
Outputs of similar age
#267,946
of 322,967 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications & Networking
#1
of 1 outputs
Altmetric has tracked 19,180,943 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 510 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% 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 322,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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