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Intelligent Computer Mathematics

Overview of attention for book
Attention for Chapter 3: $$\mathsf {SC}^\mathsf{2} $$ : Satisfiability Checking Meets Symbolic Computation
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Chapter title
$$\mathsf {SC}^\mathsf{2} $$ : Satisfiability Checking Meets Symbolic Computation
Chapter number 3
Book title
Intelligent Computer Mathematics
Published in
Lecture notes in computer science, July 2016
DOI 10.1007/978-3-319-42547-4_3
Book ISBNs
978-3-31-942546-7, 978-3-31-942547-4
Authors

E. Abraham, J. Abbott, B. Becker, A. M. Bigatti, M. Brain, B. Buchberger, A. Cimatti, J. H. Davenport, M. England, P. Fontaine, S. Forrest, A. Griggio, D. Kroening, W. M. Seiler, T. Sturm, Erika Ábrahám, John Abbott, Bernd Becker, Anna M. Bigatti, Martin Brain, Bruno Buchberger, Alessandro Cimatti, James H. Davenport, Matthew England, Pascal Fontaine, Stephen Forrest, Alberto Griggio, Daniel Kroening, Werner M. Seiler, Thomas Sturm, Ábrahám, Erika, Abbott, John, Becker, Bernd, Bigatti, Anna M., Brain, Martin, Buchberger, Bruno, Cimatti, Alessandro, Davenport, James H., England, Matthew, Fontaine, Pascal, Forrest, Stephen, Griggio, Alberto, Kroening, Daniel, Seiler, Werner M., Sturm, Thomas

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Professor 3 30%
Other 1 10%
Student > Master 1 10%
Student > Ph. D. Student 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 6 60%
Mathematics 2 20%
Engineering 1 10%
Unknown 1 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 02 March 2017.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from Lecture notes in computer science
#6,014
of 8,129 outputs
Outputs of similar age
#271,097
of 354,423 outputs
Outputs of similar age from Lecture notes in computer science
#291
of 423 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 354,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 423 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.