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Causal discovery and inference: concepts and recent methodological advances

Overview of attention for article published in Applied Informatics, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
190 Dimensions

Readers on

mendeley
319 Mendeley
Title
Causal discovery and inference: concepts and recent methodological advances
Published in
Applied Informatics, February 2016
DOI 10.1186/s40535-016-0018-x
Pubmed ID
Authors

Peter Spirtes, Kun Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Japan 1 <1%
Italy 1 <1%
Canada 1 <1%
Unknown 314 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 24%
Student > Master 50 16%
Researcher 43 13%
Student > Doctoral Student 18 6%
Student > Bachelor 17 5%
Other 43 13%
Unknown 71 22%
Readers by discipline Count As %
Computer Science 100 31%
Engineering 29 9%
Mathematics 17 5%
Physics and Astronomy 10 3%
Economics, Econometrics and Finance 9 3%
Other 72 23%
Unknown 82 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 November 2020.
All research outputs
#6,771,102
of 25,837,817 outputs
Outputs from Applied Informatics
#2
of 9 outputs
Outputs of similar age
#85,366
of 313,543 outputs
Outputs of similar age from Applied Informatics
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 7 of them.
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 313,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 1 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