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Bengali translation and characterisation of four cognitive and trait measures for autism spectrum conditions in India

Overview of attention for article published in Molecular Autism, December 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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2 news outlets
twitter
12 tweeters
facebook
1 Facebook page

Citations

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9 Dimensions

Readers on

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93 Mendeley
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Title
Bengali translation and characterisation of four cognitive and trait measures for autism spectrum conditions in India
Published in
Molecular Autism, December 2016
DOI 10.1186/s13229-016-0111-y
Pubmed ID
Authors

Alokananda Rudra, Jai Ranjan Ram, Tom Loucas, Matthew K. Belmonte, Bhismadev Chakrabarti

Abstract

Autism is characterised by atypical social-communicative behaviour and restricted range of interests and repetitive behaviours. These features exist in a continuum in the general population. Behavioural measures validated across cultures and languages are required to quantify the dimensional traits of autism in these social and non-social domains. Bengali is the seventh most spoken language in the world. However, there is a serious dearth of data on standard measures of autism-related social and visual cognition in Bengali. Bengali translations of two measures related to social-communicative functioning (the Children's Reading the Mind in the Eyes Test (RMET) and a facial emotion recognition test with stimuli taken from the Karolinska Directed Emotional Faces database), one measure of visual perceptual disembedding (the Embedded Figures Test), and a questionnaire measure (the Children's Empathy Quotient) were tested in 25 children with autism spectrum conditions (ASC) and 26 control children (mean age = 10.7 years) in Kolkata, India. Group differences were analysed by t test and multiple regression (after accounting for potential effects of gender, IQ, and age). Behavioural and trait measures were associated with group differences in the expected directions: ASC children scored lower on the Children's Empathy Quotient and the RMET, as well as on facial emotion recognition, but were faster and more accurate on the Embedded Figures Test. Distributional properties of these measures within groups are similar to those reported in Western countries. These results provide an empirical demonstration of cross-cultural generalisability and applicability of these standard behavioural and trait measures related to autism, in a major world language.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 15%
Student > Master 13 14%
Researcher 11 12%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 9 10%
Other 14 15%
Unknown 23 25%
Readers by discipline Count As %
Psychology 28 30%
Medicine and Dentistry 8 9%
Social Sciences 7 8%
Nursing and Health Professions 4 4%
Neuroscience 3 3%
Other 11 12%
Unknown 32 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 01 March 2019.
All research outputs
#1,034,477
of 18,834,855 outputs
Outputs from Molecular Autism
#121
of 604 outputs
Outputs of similar age
#30,219
of 405,990 outputs
Outputs of similar age from Molecular Autism
#10
of 43 outputs
Altmetric has tracked 18,834,855 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 604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has done well, scoring higher than 80% 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 405,990 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 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.