↓ Skip to main content

Future Directions in Machine Learning

Overview of attention for article published in Frontiers in Robotics and AI, January 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
23 X users
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
69 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
Future Directions in Machine Learning
Published in
Frontiers in Robotics and AI, January 2017
DOI 10.3389/frobt.2016.00079
Authors

Hal S. Greenwald, Carsten K. Oertel

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 23 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Researcher 10 14%
Student > Ph. D. Student 9 13%
Student > Bachelor 9 13%
Unspecified 4 6%
Other 14 20%
Unknown 10 14%
Readers by discipline Count As %
Computer Science 17 25%
Engineering 11 16%
Medicine and Dentistry 6 9%
Biochemistry, Genetics and Molecular Biology 4 6%
Unspecified 4 6%
Other 12 17%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 30 August 2017.
All research outputs
#2,006,185
of 25,617,409 outputs
Outputs from Frontiers in Robotics and AI
#128
of 1,786 outputs
Outputs of similar age
#40,474
of 424,060 outputs
Outputs of similar age from Frontiers in Robotics and AI
#5
of 15 outputs
Altmetric has tracked 25,617,409 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 92% 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 424,060 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 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.