| Title |
Reflecting health: smart mirrors for personalized medicine
|
|---|---|
| Published in |
npj Digital Medicine, November 2018
|
| DOI | 10.1038/s41746-018-0068-7 |
| Pubmed ID | |
| Authors |
Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley |
X Demographics
The data shown below were collected from the profiles of 53 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 | 17 | 32% |
| United Kingdom | 7 | 13% |
| Canada | 3 | 6% |
| France | 2 | 4% |
| Japan | 1 | 2% |
| South Africa | 1 | 2% |
| Ireland | 1 | 2% |
| Finland | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 66% |
| Scientists | 14 | 26% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 13% |
| Researcher | 16 | 12% |
| Student > Ph. D. Student | 11 | 8% |
| Student > Master | 11 | 8% |
| Student > Doctoral Student | 11 | 8% |
| Other | 28 | 20% |
| Unknown | 42 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 15% |
| Medicine and Dentistry | 18 | 13% |
| Engineering | 14 | 10% |
| Psychology | 7 | 5% |
| Unspecified | 6 | 4% |
| Other | 26 | 19% |
| Unknown | 46 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 28 September 2023.
All research outputs
#706,023
of 25,670,640 outputs
Outputs from npj Digital Medicine
#217
of 1,017 outputs
Outputs of similar age
#15,272
of 366,006 outputs
Outputs of similar age from npj Digital Medicine
#7
of 18 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has done well, scoring higher than 78% 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 366,006 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 95% of its contemporaries.
We're also able to compare this research output to 18 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.