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The GUHA method of automatic hypotheses determination

Overview of attention for article published in Computing, December 1966
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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 (#26 of 236)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
17 Mendeley
Title
The GUHA method of automatic hypotheses determination
Published in
Computing, December 1966
DOI 10.1007/bf02345483
Authors

P. Hájek, I. Havel, M. Chytil

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 5 29%
Researcher 3 18%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 2 12%
Readers by discipline Count As %
Computer Science 13 76%
Engineering 3 18%
Economics, Econometrics and Finance 1 6%
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 05 September 2023.
All research outputs
#5,169,865
of 24,413,320 outputs
Outputs from Computing
#26
of 236 outputs
Outputs of similar age
#499
of 12,286 outputs
Outputs of similar age from Computing
#1
of 1 outputs
Altmetric has tracked 24,413,320 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 236 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 12,286 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 92% 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