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Challenges of understanding brain function by selective modulation of neuronal subpopulations

Overview of attention for article published in Trends in Neurosciences, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
twitter
1 tweeter

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
191 Mendeley
citeulike
2 CiteULike
Title
Challenges of understanding brain function by selective modulation of neuronal subpopulations
Published in
Trends in Neurosciences, October 2013
DOI 10.1016/j.tins.2013.06.005
Pubmed ID
Authors

Arvind Kumar, Ioannis Vlachos, Ad Aertsen, Clemens Boucsein

Abstract

Neuronal networks confront researchers with an overwhelming complexity of interactions between their elements. A common approach to understanding neuronal processing is to reduce complexity by defining subunits and infer their functional role by selectively modulating them. However, this seemingly straightforward approach may lead to confusing results if the network exhibits parallel pathways leading to recurrent connectivity. We demonstrate limits of the selective modulation approach and argue that, even though highly successful in some instances, the approach fails in networks with complex connectivity. We argue to refine experimental techniques by carefully considering the structural features of the neuronal networks involved. Such methods could dramatically increase the effectiveness of selective modulation and may lead to a mechanistic understanding of principles underlying brain function.

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

Geographical breakdown

Country Count As %
United States 10 5%
France 4 2%
Germany 4 2%
Japan 3 2%
Switzerland 2 1%
China 2 1%
Brazil 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Other 3 2%
Unknown 160 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 28%
Researcher 48 25%
Student > Master 22 12%
Student > Doctoral Student 15 8%
Professor 13 7%
Other 27 14%
Unknown 12 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 35%
Neuroscience 44 23%
Medicine and Dentistry 14 7%
Psychology 13 7%
Engineering 12 6%
Other 25 13%
Unknown 17 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 09 August 2013.
All research outputs
#329,121
of 6,229,091 outputs
Outputs from Trends in Neurosciences
#75
of 958 outputs
Outputs of similar age
#7,694
of 100,661 outputs
Outputs of similar age from Trends in Neurosciences
#2
of 17 outputs
Altmetric has tracked 6,229,091 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 91% 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 100,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.