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Introduction to Measure Theory and Functional Analysis

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

video
1 YouTube creator

Readers on

mendeley
40 Mendeley
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Title
Introduction to Measure Theory and Functional Analysis
Published by
UNITEXT, January 2015
DOI 10.1007/978-3-319-17019-0
ISBNs
978-3-31-917018-3, 978-3-31-917019-0
Authors

Cannarsa, Piermarco, D'Aprile, Teresa, Piermarco Cannarsa, Teresa D'Aprile

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Italy 1 3%
India 1 3%
Canada 1 3%
China 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 40%
Researcher 8 20%
Student > Master 4 10%
Student > Postgraduate 3 8%
Student > Bachelor 2 5%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Mathematics 15 38%
Engineering 10 25%
Physics and Astronomy 3 8%
Economics, Econometrics and Finance 2 5%
Psychology 2 5%
Other 4 10%
Unknown 4 10%
Attention Score in Context

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 08 June 2015.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from UNITEXT
#1
of 1 outputs
Outputs of similar age
#309,809
of 362,570 outputs
Outputs of similar age from UNITEXT
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
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 362,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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