↓ Skip to main content

Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm

Overview of attention for article published in Neural Computing & Applications, May 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
Title
Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
Published in
Neural Computing & Applications, May 2018
DOI 10.1007/s00521-018-3534-x
Authors

Nian Zhang, Zhigang Yao, Yufeng Zhou, Guiwu Wei

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 %
Other 1 33%
Professor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Social Sciences 1 33%
Unknown 1 33%

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 20 July 2018.
All research outputs
#8,303,357
of 13,248,851 outputs
Outputs from Neural Computing & Applications
#112
of 228 outputs
Outputs of similar age
#159,622
of 267,905 outputs
Outputs of similar age from Neural Computing & Applications
#4
of 13 outputs
Altmetric has tracked 13,248,851 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 27th percentile – i.e., 27% 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 267,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.