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Climbing Mount AI

Overview of attention for article published in Nature Machine Intelligence, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
Title
Climbing Mount AI
Published in
Nature Machine Intelligence, January 2019
DOI 10.1038/s42256-018-0012-1
Authors

James V. Stone

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 2 15%
Professor 1 8%
Lecturer 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Engineering 4 31%
Computer Science 2 15%
Medicine and Dentistry 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 5 38%
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 15 January 2019.
All research outputs
#5,943,220
of 24,133,587 outputs
Outputs from Nature Machine Intelligence
#497
of 644 outputs
Outputs of similar age
#116,616
of 444,489 outputs
Outputs of similar age from Nature Machine Intelligence
#23
of 25 outputs
Altmetric has tracked 24,133,587 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 644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 444,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.