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Enhancing negative messages broadcasting with Meet-Table and TTL in VANET

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Readers on

mendeley
1 Mendeley
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Title
Enhancing negative messages broadcasting with Meet-Table and TTL in VANET
Published in
EURASIP Journal on Wireless Communications & Networking, September 2018
DOI 10.1186/s13638-018-1237-8
Authors

Xiaolu Cheng, Jiawei Mo, Baohua Huang

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2018.
All research outputs
#8,144,045
of 13,514,418 outputs
Outputs from EURASIP Journal on Wireless Communications & Networking
#161
of 391 outputs
Outputs of similar age
#148,081
of 264,178 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications & Networking
#2
of 4 outputs
Altmetric has tracked 13,514,418 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 57% 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 264,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.