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Decentralized Adaptive Event-Triggered Synchronization of Neutral Neural Networks with Time-Varying Delays

Overview of attention for article published in Circuits, Systems, and Signal Processing, June 2018
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Mentioned by

peer_reviews
1 peer review site

Citations

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8 Dimensions

Readers on

mendeley
3 Mendeley
Title
Decentralized Adaptive Event-Triggered Synchronization of Neutral Neural Networks with Time-Varying Delays
Published in
Circuits, Systems, and Signal Processing, June 2018
DOI 10.1007/s00034-018-0889-2
Authors

Tao Li, Yaobao Yu, Ting Wang, Shumin Fei

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Professor > Associate Professor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%
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 27 August 2018.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Circuits, Systems, and Signal Processing
#119
of 594 outputs
Outputs of similar age
#209,389
of 328,753 outputs
Outputs of similar age from Circuits, Systems, and Signal Processing
#3
of 6 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 594 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 49th percentile – i.e., 49% 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 328,753 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.