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Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder

Overview of attention for article published in BMC Psychiatry, January 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 2,528)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
11 news outlets
reddit
1 Redditor

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
230 Mendeley
citeulike
1 CiteULike
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Title
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
Published in
BMC Psychiatry, January 2011
DOI 10.1186/1471-244x-11-18
Pubmed ID
Authors

Sergi G Costafreda, Cynthia HY Fu, Marco Picchioni, Timothea Toulopoulou, Colm McDonald, Eugenia Kravariti, Muriel Walshe, Diana Prata, Robin M Murray, Philip K McGuire

Abstract

Impairments in executive function and language processing are characteristic of both schizophrenia and bipolar disorder. Their functional neuroanatomy demonstrate features that are shared as well as specific to each disorder. Determining the distinct pattern of neural responses in schizophrenia and bipolar disorder may provide biomarkers for their diagnoses.

Mendeley readers

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United States 3 1%
Argentina 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
New Zealand 1 <1%
Switzerland 1 <1%
Belgium 1 <1%
Other 3 1%
Unknown 211 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 18%
Researcher 36 16%
Student > Master 32 14%
Student > Bachelor 20 9%
Other 17 7%
Other 57 25%
Unknown 27 12%
Readers by discipline Count As %
Psychology 69 30%
Medicine and Dentistry 53 23%
Neuroscience 23 10%
Computer Science 11 5%
Engineering 10 4%
Other 24 10%
Unknown 40 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 15 April 2017.
All research outputs
#128,145
of 9,692,018 outputs
Outputs from BMC Psychiatry
#27
of 2,528 outputs
Outputs of similar age
#726
of 82,288 outputs
Outputs of similar age from BMC Psychiatry
#1
of 46 outputs
Altmetric has tracked 9,692,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,528 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 98% 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 82,288 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 99% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.