↓ Skip to main content

A new fractional derivative involving the normalized sinc function without singular kernel

Overview of attention for article published in Journal de Physique IV - Proceedings, July 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
6 Mendeley
Title
A new fractional derivative involving the normalized sinc function without singular kernel
Published in
Journal de Physique IV - Proceedings, July 2018
DOI 10.1140/epjst/e2018-00020-2
Authors

Xiao-Jun Yang, Feng Gao, J. A. Tenreiro Machado, Dumitru Baleanu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 33%
Lecturer 2 33%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Mathematics 3 50%
Engineering 2 33%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 January 2017.
All research outputs
#7,248,718
of 25,515,042 outputs
Outputs from Journal de Physique IV - Proceedings
#234
of 1,217 outputs
Outputs of similar age
#115,751
of 341,616 outputs
Outputs of similar age from Journal de Physique IV - Proceedings
#1
of 4 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,217 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 80% 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 341,616 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 66% of its contemporaries.
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 all of them