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Correction to: Computing reward prediction errors and learning valence in the insect mushroom body

Overview of attention for article published in BMC Neuroscience, January 2019
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1 tweeter

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1 Mendeley
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Title
Correction to: Computing reward prediction errors and learning valence in the insect mushroom body
Published in
BMC Neuroscience, January 2019
DOI 10.1186/s12868-019-0486-8
Authors

James Bennett, Thomas Nowotny

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Decision Sciences 1 100%

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 18 January 2019.
All research outputs
#12,516,068
of 14,155,626 outputs
Outputs from BMC Neuroscience
#878
of 1,065 outputs
Outputs of similar age
#268,774
of 318,837 outputs
Outputs of similar age from BMC Neuroscience
#1
of 1 outputs
Altmetric has tracked 14,155,626 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,065 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 318,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them