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Electrophysiological Signatures of Numerosity Encoding in a Delayed Match-to-Sample Task

Overview of attention for article published in Frontiers in Human Neuroscience, January 2022
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1 X user

Citations

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12 Mendeley
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Title
Electrophysiological Signatures of Numerosity Encoding in a Delayed Match-to-Sample Task
Published in
Frontiers in Human Neuroscience, January 2022
DOI 10.3389/fnhum.2021.750582
Pubmed ID
Authors

Wanlu Fu, Serena Dolfi, Gisella Decarli, Chiara Spironelli, Marco Zorzi

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Student > Bachelor 1 8%
Researcher 1 8%
Unknown 8 67%
Readers by discipline Count As %
Psychology 3 25%
Unknown 9 75%
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 13 January 2022.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from Frontiers in Human Neuroscience
#6,552
of 7,167 outputs
Outputs of similar age
#410,577
of 500,821 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#133
of 164 outputs
Altmetric has tracked 22,875,477 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 7,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 500,821 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 164 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.