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A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia

Overview of attention for article published in Frontiers in Psychiatry, July 2020
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2 X users

Citations

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81 Mendeley
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Title
A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia
Published in
Frontiers in Psychiatry, July 2020
DOI 10.3389/fpsyt.2020.00660
Pubmed ID
Authors

Kenji Kirihara, Mariko Tada, Daisuke Koshiyama, Mao Fujioka, Kaori Usui, Tsuyoshi Araki, Kiyoto Kasai

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 12 15%
Researcher 11 14%
Student > Doctoral Student 5 6%
Other 4 5%
Other 9 11%
Unknown 26 32%
Readers by discipline Count As %
Neuroscience 17 21%
Psychology 14 17%
Medicine and Dentistry 8 10%
Agricultural and Biological Sciences 3 4%
Unspecified 3 4%
Other 7 9%
Unknown 29 36%
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 10 February 2021.
All research outputs
#18,734,471
of 23,221,875 outputs
Outputs from Frontiers in Psychiatry
#7,087
of 10,342 outputs
Outputs of similar age
#299,035
of 396,946 outputs
Outputs of similar age from Frontiers in Psychiatry
#292
of 384 outputs
Altmetric has tracked 23,221,875 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 10,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 23rd percentile – i.e., 23% 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 396,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.