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Numerical Software Verification

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Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Researcher 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Other 1 20%
Student > Master 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 80%
Engineering 1 20%

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
#4,920,553
of 9,059,586 outputs
Outputs from Lecture notes in computer science
#3,524
of 6,802 outputs
Outputs of similar age
#178,498
of 315,214 outputs
Outputs of similar age from Lecture notes in computer science
#58
of 93 outputs
Altmetric has tracked 9,059,586 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,802 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 26th percentile – i.e., 26% 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 315,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.