↓ Skip to main content

Syntactic characterizations of classes of first-order structures in mathematical fuzzy logic

Overview of attention for article published in Soft Computing, February 2019
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

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
Title
Syntactic characterizations of classes of first-order structures in mathematical fuzzy logic
Published in
Soft Computing, February 2019
DOI 10.1007/s00500-019-03850-6
Pubmed ID
Authors

Guillermo Badia, Vicent Costa, Pilar Dellunde, Carles Noguera

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 13%
Researcher 1 13%
Unknown 6 75%
Readers by discipline Count As %
Mathematics 1 13%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 5 63%
Attention Score in Context

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 23 February 2019.
All research outputs
#15,519,968
of 23,839,820 outputs
Outputs from Soft Computing
#248
of 465 outputs
Outputs of similar age
#212,308
of 354,946 outputs
Outputs of similar age from Soft Computing
#8
of 16 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 45th percentile – i.e., 45% 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 354,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 50% of its contemporaries.