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A Reinforcement Learning Approach to Understanding Procrastination: Does Inaccurate Value Approximation Cause Irrational Postponing of a Task?

Overview of attention for article published in Frontiers in Neuroscience, September 2021
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Mentioned by

twitter
4 X users

Readers on

mendeley
34 Mendeley
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Title
A Reinforcement Learning Approach to Understanding Procrastination: Does Inaccurate Value Approximation Cause Irrational Postponing of a Task?
Published in
Frontiers in Neuroscience, September 2021
DOI 10.3389/fnins.2021.660595
Pubmed ID
Authors

Zheyu Feng, Asako Mitsuto Nagase, Kenji Morita

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 12%
Researcher 3 9%
Lecturer 2 6%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 2 6%
Unknown 19 56%
Readers by discipline Count As %
Psychology 6 18%
Engineering 2 6%
Neuroscience 2 6%
Business, Management and Accounting 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 19 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 September 2021.
All research outputs
#15,532,577
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#6,628
of 11,543 outputs
Outputs of similar age
#208,658
of 421,312 outputs
Outputs of similar age from Frontiers in Neuroscience
#197
of 405 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 41st percentile – i.e., 41% 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 421,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 405 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 50% of its contemporaries.