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| Title |
A Predictive Machine Learning Tool for Asthma Exacerbations: Results from a 12-Week, Open-Label Study Using an Electronic Multi-Dose Dry Powder Inhaler with Integrated Sensors
|
|---|---|
| Published in |
Journal of Asthma and Allergy, November 2022
|
| DOI | 10.2147/jaa.s377631 |
| Pubmed ID | |
| Authors |
Njira L Lugogo, Michael DePietro, Michael Reich, Rajan Merchant, Henry Chrystyn, Roy Pleasants, Lena Granovsky, Thomas Li, Tanisha Hill, Randall W Brown, Guilherme Safioti |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Other | 2 | 9% |
| Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 23% |
| Computer Science | 2 | 9% |
| Nursing and Health Professions | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 April 2024.
All research outputs
#3,635,328
of 25,759,158 outputs
Outputs from Journal of Asthma and Allergy
#111
of 548 outputs
Outputs of similar age
#72,453
of 442,704 outputs
Outputs of similar age from Journal of Asthma and Allergy
#3
of 30 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 548 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 79% 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 442,704 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 30 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 90% of its contemporaries.