↓ Skip to main content

Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning

Overview of attention for article published in Autonomous Agents and Multi-Agent Systems, February 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
77 Mendeley
Title
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning
Published in
Autonomous Agents and Multi-Agent Systems, February 2015
DOI 10.1007/s10458-015-9283-7
Authors

Robert Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 31%
Student > Master 13 17%
Researcher 11 14%
Student > Doctoral Student 6 8%
Other 4 5%
Other 6 8%
Unknown 13 17%
Readers by discipline Count As %
Computer Science 35 45%
Engineering 13 17%
Social Sciences 3 4%
Psychology 3 4%
Nursing and Health Professions 2 3%
Other 4 5%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 February 2015.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#169
of 246 outputs
Outputs of similar age
#267,194
of 363,165 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#4
of 4 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 10th percentile – i.e., 10% 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 363,165 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.