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Theorem proving in artificial neural networks: new frontiers in mathematical AI

Overview of attention for article published in European Journal for Philosophy of Science, January 2024
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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 (#29 of 321)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
3 Mendeley
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Title
Theorem proving in artificial neural networks: new frontiers in mathematical AI
Published in
European Journal for Philosophy of Science, January 2024
DOI 10.1007/s13194-024-00569-6
Authors

Markus Pantsar

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 January 2024.
All research outputs
#2,831,118
of 25,231,854 outputs
Outputs from European Journal for Philosophy of Science
#29
of 321 outputs
Outputs of similar age
#17,278
of 164,861 outputs
Outputs of similar age from European Journal for Philosophy of Science
#1
of 2 outputs
Altmetric has tracked 25,231,854 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They receive a mean Attention Score of 4.7. 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 164,861 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 89% of its contemporaries.
We're also able to compare this research output to 2 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