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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach
|
|---|---|
| Published in |
Molecular Autism, May 2023
|
| DOI | 10.1186/s13229-023-00549-2 |
| Pubmed ID | |
| Authors |
Nicholas Donnelly, Adam Cunningham, Sergio Marco Salas, Matthew Bracher-Smith, Samuel Chawner, Jan Stochl, Tamsin Ford, F. Lucy Raymond, Valentina Escott-Price, Marianne B. M. van den Bree |
X Demographics
The data shown below were collected from the profiles of 9 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 | 5 | 56% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 32% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 8 | 36% |
| Social Sciences | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 July 2023.
All research outputs
#5,438,928
of 25,761,363 outputs
Outputs from Molecular Autism
#394
of 719 outputs
Outputs of similar age
#99,097
of 393,058 outputs
Outputs of similar age from Molecular Autism
#5
of 9 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 45th percentile – i.e., 45% 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 393,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.