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A coordinate-based ALE functional MRI meta-analysis of brain activation during verbal fluency tasks in healthy control subjects

Overview of attention for article published in BMC Neuroscience, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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4 tweeters

Citations

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108 Dimensions

Readers on

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126 Mendeley

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Title
A coordinate-based ALE functional MRI meta-analysis of brain activation during verbal fluency tasks in healthy control subjects
Published in
BMC Neuroscience, January 2014
DOI 10.1186/1471-2202-15-19
Pubmed ID
24456150
Authors

Stefanie Wagner, Alexandra Sebastian, Klaus Lieb, Oliver Tüscher, André Tadić

Abstract

The processing of verbal fluency tasks relies on the coordinated activity of a number of brain areas, particularly in the frontal and temporal lobes of the left hemisphere. Recent studies using functional magnetic resonance imaging (fMRI) to study the neural networks subserving verbal fluency functions have yielded divergent results especially with respect to a parcellation of the inferior frontal gyrus for phonemic and semantic verbal fluency. We conducted a coordinate-based activation likelihood estimation (ALE) meta-analysis on brain activation during the processing of phonemic and semantic verbal fluency tasks involving 28 individual studies with 490 healthy volunteers.

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Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
United Kingdom 2 2%
Argentina 1 <1%
Brazil 1 <1%
Japan 1 <1%
Unknown 119 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Researcher 25 20%
Student > Master 15 12%
Student > Bachelor 15 12%
Student > Doctoral Student 10 8%
Other 20 16%
Unknown 16 13%
Readers by discipline Count As %
Psychology 39 31%
Neuroscience 23 18%
Medicine and Dentistry 10 8%
Engineering 8 6%
Linguistics 5 4%
Other 13 10%
Unknown 28 22%

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 27 January 2014.
All research outputs
#1,460,293
of 6,575,074 outputs
Outputs from BMC Neuroscience
#177
of 752 outputs
Outputs of similar age
#41,500
of 158,412 outputs
Outputs of similar age from BMC Neuroscience
#7
of 37 outputs
Altmetric has tracked 6,575,074 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 752 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 158,412 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 73% of its contemporaries.
We're also able to compare this research output to 37 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.

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