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Causal inference and data fusion in econometrics

Overview of attention for article published in Econometrics Journal, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 258)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

twitter
77 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
192 Mendeley
Summary Twitter Dimensions citations
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Title
Causal inference and data fusion in econometrics
Published in
Econometrics Journal, March 2023
DOI 10.1093/ectj/utad008
Authors

Paul Hünermund, Elias Bareinboim

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 77 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 22%
Researcher 28 15%
Student > Master 23 12%
Other 12 6%
Student > Doctoral Student 12 6%
Other 41 21%
Unknown 33 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 48 25%
Computer Science 31 16%
Business, Management and Accounting 14 7%
Social Sciences 13 7%
Engineering 12 6%
Other 33 17%
Unknown 41 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 26 May 2023.
All research outputs
#808,607
of 23,917,011 outputs
Outputs from Econometrics Journal
#6
of 258 outputs
Outputs of similar age
#16,978
of 421,543 outputs
Outputs of similar age from Econometrics Journal
#1
of 3 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 421,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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

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