↓ Skip to main content

Language, common sense, and the Winograd schema challenge

Overview of attention for article published in Artificial Intelligence, December 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 1,117)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
75 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
25 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
Language, common sense, and the Winograd schema challenge
Published in
Artificial Intelligence, December 2023
DOI 10.1016/j.artint.2023.104031
Authors

Jacob Browning, Yann LeCun

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Unspecified 2 8%
Researcher 2 8%
Other 1 4%
Lecturer 1 4%
Other 4 16%
Unknown 12 48%
Readers by discipline Count As %
Computer Science 5 20%
Philosophy 2 8%
Unspecified 2 8%
Social Sciences 2 8%
Linguistics 1 4%
Other 2 8%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 05 November 2023.
All research outputs
#934,372
of 26,756,610 outputs
Outputs from Artificial Intelligence
#20
of 1,117 outputs
Outputs of similar age
#16,181
of 402,707 outputs
Outputs of similar age from Artificial Intelligence
#1
of 16 outputs
Altmetric has tracked 26,756,610 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 1,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 402,707 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 96% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.