| Title |
Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism
|
|---|---|
| Published in |
Molecular Psychiatry, January 2021
|
| DOI | 10.1038/s41380-020-00998-8 |
| Pubmed ID | |
| Authors |
Alexandra Ramirez-Celis, Martin Becker, Miriam Nuño, Joseph Schauer, Nima Aghaeepour, Judy Van de Water |
X Demographics
The data shown below were collected from the profiles of 93 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 | 12 | 13% |
| United States | 12 | 13% |
| Canada | 4 | 4% |
| Ireland | 3 | 3% |
| India | 3 | 3% |
| United Arab Emirates | 3 | 3% |
| Spain | 2 | 2% |
| Germany | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Other | 13 | 14% |
| Unknown | 39 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 74 | 80% |
| Scientists | 13 | 14% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Student > Postgraduate | 7 | 10% |
| Student > Master | 6 | 8% |
| Researcher | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Psychology | 7 | 10% |
| Agricultural and Biological Sciences | 5 | 7% |
| Neuroscience | 3 | 4% |
| Social Sciences | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 32 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 248. 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 July 2022.
All research outputs
#152,306
of 25,998,826 outputs
Outputs from Molecular Psychiatry
#135
of 4,687 outputs
Outputs of similar age
#4,555
of 535,404 outputs
Outputs of similar age from Molecular Psychiatry
#4
of 92 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 97% 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 535,404 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 99% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.