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Using Bayesian methodology to explore the profile of mental health and well-being in 646 mothers of children with 13 rare genetic syndromes in relation to mothers of children with autism

Overview of attention for article published in Orphanet Journal of Rare Diseases, October 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
166 Mendeley
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Title
Using Bayesian methodology to explore the profile of mental health and well-being in 646 mothers of children with 13 rare genetic syndromes in relation to mothers of children with autism
Published in
Orphanet Journal of Rare Diseases, October 2018
DOI 10.1186/s13023-018-0924-1
Pubmed ID
Authors

Dawn Adams, Richard P Hastings, Clair Alston-Knox, Rina Cianfaglione, Kate Eden, David Felce, Gemma Griffith, Jo Moss, Chris Stinton, Chris Oliver

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 11%
Researcher 18 11%
Student > Ph. D. Student 18 11%
Student > Bachelor 15 9%
Student > Doctoral Student 12 7%
Other 29 17%
Unknown 55 33%
Readers by discipline Count As %
Psychology 37 22%
Medicine and Dentistry 19 11%
Nursing and Health Professions 14 8%
Social Sciences 9 5%
Neuroscience 4 2%
Other 21 13%
Unknown 62 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 December 2018.
All research outputs
#16,622,529
of 25,243,918 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,925
of 3,045 outputs
Outputs of similar age
#216,159
of 356,992 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#32
of 46 outputs
Altmetric has tracked 25,243,918 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,045 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 356,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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 is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.