| Title |
Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning
|
|---|---|
| Published in |
PLOS ONE, January 2019
|
| DOI | 10.1371/journal.pone.0210267 |
| Pubmed ID | |
| Authors |
Ryan S. McGinnis, Ellen W. McGinnis, Jessica Hruschak, Nestor L. Lopez-Duran, Kate Fitzgerald, Katherine L. Rosenblum, Maria Muzik |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| Canada | 3 | 18% |
| Switzerland | 2 | 12% |
| Japan | 1 | 6% |
| Guinea | 1 | 6% |
| Italy | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 41% |
| Scientists | 6 | 35% |
| Practitioners (doctors, other healthcare professionals) | 4 | 24% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 216 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 14% |
| Student > Bachelor | 29 | 13% |
| Researcher | 23 | 11% |
| Student > Master | 20 | 9% |
| Student > Doctoral Student | 10 | 5% |
| Other | 34 | 16% |
| Unknown | 70 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 41 | 19% |
| Medicine and Dentistry | 26 | 12% |
| Computer Science | 18 | 8% |
| Engineering | 15 | 7% |
| Neuroscience | 7 | 3% |
| Other | 25 | 12% |
| Unknown | 84 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 215. 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 11 July 2023.
All research outputs
#181,236
of 25,556,408 outputs
Outputs from PLOS ONE
#2,698
of 222,881 outputs
Outputs of similar age
#3,812
of 448,308 outputs
Outputs of similar age from PLOS ONE
#52
of 3,142 outputs
Altmetric has tracked 25,556,408 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 222,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 98% 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 448,308 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 3,142 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 98% of its contemporaries.