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Contribution of parvalbumin and somatostatin-expressing GABAergic neurons to slow oscillations and the balance in beta-gamma oscillations across cortical layers

Overview of attention for article published in Frontiers in Neural Circuits, February 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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4 X users

Citations

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54 Dimensions

Readers on

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180 Mendeley
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1 CiteULike
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Title
Contribution of parvalbumin and somatostatin-expressing GABAergic neurons to slow oscillations and the balance in beta-gamma oscillations across cortical layers
Published in
Frontiers in Neural Circuits, February 2015
DOI 10.3389/fncir.2015.00006
Pubmed ID
Authors

Toshinobu Kuki, Kazuyuki Fujihara, Hideki Miwa, Nobuaki Tamamaki, Yuchio Yanagawa, Hajime Mushiake

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

Geographical breakdown

Country Count As %
Japan 2 1%
France 1 <1%
Norway 1 <1%
Germany 1 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 171 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Researcher 42 23%
Student > Master 16 9%
Student > Bachelor 14 8%
Student > Doctoral Student 8 4%
Other 28 16%
Unknown 28 16%
Readers by discipline Count As %
Neuroscience 62 34%
Agricultural and Biological Sciences 39 22%
Medicine and Dentistry 15 8%
Psychology 7 4%
Computer Science 3 2%
Other 14 8%
Unknown 40 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 November 2015.
All research outputs
#7,971,185
of 25,402,528 outputs
Outputs from Frontiers in Neural Circuits
#449
of 1,301 outputs
Outputs of similar age
#101,534
of 360,668 outputs
Outputs of similar age from Frontiers in Neural Circuits
#3
of 11 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,301 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 360,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.