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Introduction to the foundations of causal discovery

Overview of attention for article published in International Journal of Data Science and Analytics, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 211)
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
10 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
144 Mendeley
Title
Introduction to the foundations of causal discovery
Published in
International Journal of Data Science and Analytics, December 2016
DOI 10.1007/s41060-016-0038-6
Authors

Frederick Eberhardt

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Student > Master 21 15%
Researcher 18 13%
Other 8 6%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 41 28%
Readers by discipline Count As %
Computer Science 35 24%
Engineering 15 10%
Neuroscience 6 4%
Psychology 5 3%
Economics, Econometrics and Finance 5 3%
Other 31 22%
Unknown 47 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 June 2022.
All research outputs
#3,440,569
of 23,924,386 outputs
Outputs from International Journal of Data Science and Analytics
#18
of 211 outputs
Outputs of similar age
#69,703
of 426,468 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#1
of 4 outputs
Altmetric has tracked 23,924,386 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 426,468 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 83% of its contemporaries.
We're also able to compare this research output to 4 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