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Statistical Relational Learning With Unconventional String Models

Overview of attention for article published in Frontiers in Robotics and AI, July 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Statistical Relational Learning With Unconventional String Models
Published in
Frontiers in Robotics and AI, July 2018
DOI 10.3389/frobt.2018.00076
Pubmed ID
Authors

Mai H. Vu, Ashkan Zehfroosh, Kristina Strother-Garcia, Michael Sebok, Jeffrey Heinz, Herbert G. Tanner

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Linguistics 2 40%
Unspecified 1 20%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 July 2018.
All research outputs
#7,484,504
of 26,313,853 outputs
Outputs from Frontiers in Robotics and AI
#462
of 1,808 outputs
Outputs of similar age
#117,513
of 344,663 outputs
Outputs of similar age from Frontiers in Robotics and AI
#23
of 45 outputs
Altmetric has tracked 26,313,853 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,808 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 gotten more attention than average, scoring higher than 74% 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 344,663 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 65% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.