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Inforence: effective fault localization based on information-theoretic analysis and statistical causal inference

Overview of attention for article published in Frontiers of Computer Science, June 2019
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

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26 Mendeley
Title
Inforence: effective fault localization based on information-theoretic analysis and statistical causal inference
Published in
Frontiers of Computer Science, June 2019
DOI 10.1007/s11704-017-6512-z
Authors

Farid Feyzi, Saeed Parsa

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 27%
Student > Ph. D. Student 6 23%
Researcher 3 12%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Other 5 19%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 17 65%
Engineering 4 15%
Unspecified 1 4%
Unknown 4 15%
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 12 December 2017.
All research outputs
#21,503,027
of 24,002,307 outputs
Outputs from Frontiers of Computer Science
#288
of 482 outputs
Outputs of similar age
#303,154
of 355,033 outputs
Outputs of similar age from Frontiers of Computer Science
#21
of 21 outputs
Altmetric has tracked 24,002,307 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 482 research outputs from this source. They receive a mean Attention Score of 2.5. 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 355,033 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 21 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.