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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 33% |
| India | 3 | 25% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 14% |
| Student > Master | 13 | 12% |
| Researcher | 12 | 11% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Doctoral Student | 9 | 8% |
| Other | 17 | 16% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 25% |
| Medicine and Dentistry | 9 | 8% |
| Nursing and Health Professions | 8 | 7% |
| Social Sciences | 8 | 7% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 11 | 10% |
| Unknown | 42 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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
#1,789,569
of 26,542,140 outputs
Outputs from Molecular Autism
#162
of 732 outputs
Outputs of similar age
#33,348
of 422,575 outputs
Outputs of similar age from Molecular Autism
#5
of 10 outputs
Altmetric has tracked 26,542,140 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 732 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.6. This one has done well, scoring higher than 77% 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 422,575 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.