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Programming Languages and Systems

Overview of attention for book
Attention for Chapter 6: Model-Based Fault Classification for Automotive Software
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Mentioned by

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1 X user

Readers on

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4 Mendeley
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Chapter title
Model-Based Fault Classification for Automotive Software
Chapter number 6
Book title
Programming Languages and Systems
Published in
arXiv, August 2022
DOI 10.1007/978-3-031-21037-2_6
Book ISBNs
978-3-03-121036-5, 978-3-03-121037-2
Authors

Mike Becker, Roland Meyer, Tobias Runge, Ina Schaefer, Sören van der Wall, Sebastian Wolff, Becker, Mike, Meyer, Roland, Runge, Tobias, Schaefer, Ina, van der Wall, Sören, Wolff, Sebastian

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unspecified 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Engineering 1 25%
Unknown 2 50%
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 16 December 2022.
All research outputs
#20,868,832
of 23,485,296 outputs
Outputs from arXiv
#691,499
of 970,847 outputs
Outputs of similar age
#343,773
of 430,912 outputs
Outputs of similar age from arXiv
#25,517
of 37,259 outputs
Altmetric has tracked 23,485,296 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 970,847 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 430,912 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 37,259 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.