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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records
|
|---|---|
| Published in |
Journal of Neurodevelopmental Disorders, May 2022
|
| DOI | 10.1186/s11689-022-09442-0 |
| Pubmed ID | |
| Authors |
Mengge Zhao, James Havrilla, Jacqueline Peng, Madison Drye, Maddie Fecher, Whitney Guthrie, Birkan Tunc, Robert Schultz, Kai Wang, Yunyun Zhou |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 14% |
| France | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Student > Master | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 23 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Social Sciences | 3 | 8% |
| Psychology | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 22 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 June 2022.
All research outputs
#3,135,176
of 23,940,793 outputs
Outputs from Journal of Neurodevelopmental Disorders
#129
of 492 outputs
Outputs of similar age
#68,539
of 428,260 outputs
Outputs of similar age from Journal of Neurodevelopmental Disorders
#6
of 13 outputs
Altmetric has tracked 23,940,793 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 492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 73% 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 428,260 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 83% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.