↓ Skip to main content

Artificial intelligence as structural estimation: Deep Blue, Bonanza, and AlphaGo

Overview of attention for article published in Econometrics Journal, March 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 283)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
2 blogs
twitter
295 X users
facebook
2 Facebook pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
124 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Artificial intelligence as structural estimation: Deep Blue, Bonanza, and AlphaGo
Published in
Econometrics Journal, March 2020
DOI 10.1093/ectj/utaa005
Authors

Mitsuru Igami

X Demographics

X Demographics

The data shown below were collected from the profiles of 295 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 23%
Researcher 13 10%
Student > Master 13 10%
Student > Bachelor 7 6%
Student > Doctoral Student 6 5%
Other 22 18%
Unknown 34 27%
Readers by discipline Count As %
Economics, Econometrics and Finance 44 35%
Business, Management and Accounting 10 8%
Computer Science 10 8%
Engineering 8 6%
Social Sciences 5 4%
Other 9 7%
Unknown 38 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 218. 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 April 2024.
All research outputs
#187,489
of 26,388,722 outputs
Outputs from Econometrics Journal
#1
of 283 outputs
Outputs of similar age
#5,467
of 392,903 outputs
Outputs of similar age from Econometrics Journal
#1
of 4 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 283 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 99% 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 392,903 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 98% 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