| Title |
Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children
|
|---|---|
| Published in |
Scientific Reports, March 2020
|
| DOI | 10.1038/s41598-020-61213-w |
| Pubmed ID | |
| Authors |
Halim Abbas, Ford Garberson, Stuart Liu-Mayo, Eric Glover, Dennis P. Wall |
X Demographics
The data shown below were collected from the profiles of 14 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 States | 4 | 29% |
| Unknown | 10 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 13% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Doctoral Student | 10 | 9% |
| Researcher | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 20 | 17% |
| Unknown | 43 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 13% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 8 | 7% |
| Social Sciences | 6 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Other | 28 | 24% |
| Unknown | 45 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 14 June 2021.
All research outputs
#1,481,847
of 25,564,614 outputs
Outputs from Scientific Reports
#14,272
of 141,775 outputs
Outputs of similar age
#37,496
of 392,251 outputs
Outputs of similar age from Scientific Reports
#411
of 3,953 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141,775 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 89% 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 392,251 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 90% of its contemporaries.
We're also able to compare this research output to 3,953 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.