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Fourier-Like Multipliers and Applications for Integral Operators

Overview of attention for article published in Complex Analysis and Operator Theory, August 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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3 Dimensions

Readers on

mendeley
4 Mendeley
Title
Fourier-Like Multipliers and Applications for Integral Operators
Published in
Complex Analysis and Operator Theory, August 2018
DOI 10.1007/s11785-018-0839-9
Authors

Saifallah Ghobber

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Mathematics 1 25%
Unknown 3 75%
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 17 November 2017.
All research outputs
#14,909,825
of 23,852,579 outputs
Outputs from Complex Analysis and Operator Theory
#7
of 62 outputs
Outputs of similar age
#190,460
of 336,584 outputs
Outputs of similar age from Complex Analysis and Operator Theory
#2
of 2 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done well, scoring higher than 87% 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 336,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.