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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An electronic health record (EHR) phenotype algorithm to identify patients with attention deficit hyperactivity disorders (ADHD) and psychiatric comorbidities
|
|---|---|
| Published in |
Journal of Neurodevelopmental Disorders, June 2022
|
| DOI | 10.1186/s11689-022-09447-9 |
| Pubmed ID | |
| Authors |
Isabella Slaby, Heather S. Hain, Debra Abrams, Frank D. Mentch, Joseph T. Glessner, Patrick M. A. Sleiman, Hakon Hakonarson |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 10% |
| Unspecified | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 24 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 10% |
| Unspecified | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 23 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 309. 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 July 2022.
All research outputs
#91,587
of 22,851,489 outputs
Outputs from Journal of Neurodevelopmental Disorders
#2
of 477 outputs
Outputs of similar age
#3,041
of 440,956 outputs
Outputs of similar age from Journal of Neurodevelopmental Disorders
#1
of 15 outputs
Altmetric has tracked 22,851,489 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 477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 99% 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 440,956 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 15 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 93% of its contemporaries.