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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior
|
|---|---|
| Published in |
npj Digital Medicine, April 2021
|
| DOI | 10.1038/s41746-021-00441-4 |
| Pubmed ID | |
| Authors |
Kirstin Aschbacher, Christian S. Hendershot, Geoffrey Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus |
X Demographics
The data shown below were collected from the profiles of 70 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 | 14 | 20% |
| India | 4 | 6% |
| Brazil | 3 | 4% |
| Nigeria | 2 | 3% |
| Canada | 2 | 3% |
| Italy | 2 | 3% |
| United Kingdom | 2 | 3% |
| Kenya | 1 | 1% |
| Ghana | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 32 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 86% |
| Scientists | 8 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 3 | 6% |
| Professor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 20 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 14% |
| Computer Science | 5 | 10% |
| Social Sciences | 4 | 8% |
| Psychology | 4 | 8% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 19 August 2022.
All research outputs
#1,030,299
of 25,804,096 outputs
Outputs from npj Digital Medicine
#305
of 1,034 outputs
Outputs of similar age
#27,974
of 455,250 outputs
Outputs of similar age from npj Digital Medicine
#16
of 50 outputs
Altmetric has tracked 25,804,096 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,034 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has gotten more attention than average, scoring higher than 70% 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 455,250 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 93% of its contemporaries.
We're also able to compare this research output to 50 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 68% of its contemporaries.