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Numerical Software Verification

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Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
Numerical Software Verification
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-54292-8
ISBNs
978-3-31-954291-1, 978-3-31-954292-8
Editors

Sergiy Bogomolov, Matthieu Martel, Pavithra Prabhakar

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 20%
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 80%
Engineering 1 20%
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 13 February 2017.
All research outputs
#15,443,875
of 22,953,506 outputs
Outputs from Lecture notes in computer science
#4,654
of 8,133 outputs
Outputs of similar age
#257,047
of 420,985 outputs
Outputs of similar age from Lecture notes in computer science
#102
of 149 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 420,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.