↓ Skip to main content

Adaptive basis functions for prototype-based classification of functional data

Overview of attention for article published in Neural Computing and Applications, July 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
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
14 Mendeley
Title
Adaptive basis functions for prototype-based classification of functional data
Published in
Neural Computing and Applications, July 2019
DOI 10.1007/s00521-019-04299-2
Authors

Friedrich Melchert, Gabriele Bani, Udo Seiffert, Michael Biehl

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Student > Doctoral Student 1 7%
Professor 1 7%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 7 50%
Mathematics 1 7%
Neuroscience 1 7%
Engineering 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 July 2019.
All research outputs
#13,974,560
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#333
of 2,407 outputs
Outputs of similar age
#173,041
of 348,020 outputs
Outputs of similar age from Neural Computing and Applications
#11
of 21 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 86% 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 348,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.