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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Profiles of autism characteristics in thirteen genetic syndromes: a machine learning approach
|
|---|---|
| Published in |
Molecular Autism, January 2023
|
| DOI | 10.1186/s13229-022-00530-5 |
| Pubmed ID | |
| Authors |
Natali Bozhilova, Alice Welham, Dawn Adams, Stacey Bissell, Hilgo Bruining, Hayley Crawford, Kate Eden, Lisa Nelson, Christopher Oliver, Laurie Powis, Caroline Richards, Jane Waite, Peter Watson, Hefin Rhys, Lucy Wilde, Kate Woodcock, Joanna Moss |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 30% |
| United States | 1 | 10% |
| Nigeria | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 10% |
| Researcher | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 28 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 10% |
| Social Sciences | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Neuroscience | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 26 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 March 2024.
All research outputs
#3,575,426
of 25,654,806 outputs
Outputs from Molecular Autism
#299
of 722 outputs
Outputs of similar age
#70,996
of 478,588 outputs
Outputs of similar age from Molecular Autism
#2
of 16 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 58% 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 478,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.