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Experiences with software-based soft-error mitigation using AN codes

Overview of attention for article published in Software Quality Journal, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 145)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
Title
Experiences with software-based soft-error mitigation using AN codes
Published in
Software Quality Journal, November 2014
DOI 10.1007/s11219-014-9260-4
Authors

Martin Hoffmann, Peter Ulbrich, Christian Dietrich, Horst Schirmeier, Daniel Lohmann, Wolfgang Schröder-Preikschat

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Bachelor 2 11%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Computer Science 6 33%
Engineering 3 17%
Business, Management and Accounting 2 11%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 August 2017.
All research outputs
#3,315,928
of 23,033,713 outputs
Outputs from Software Quality Journal
#4
of 145 outputs
Outputs of similar age
#49,455
of 363,066 outputs
Outputs of similar age from Software Quality Journal
#1
of 3 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% of its peers.
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 363,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 3 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