| Title |
New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet
|
|---|---|
| Published in |
Current Psychiatry Reports, October 2014
|
| DOI | 10.1007/s11920-014-0523-3 |
| Pubmed ID | |
| Authors |
Tasha Glenn, Scott Monteith |
| Abstract |
With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to estimate new measures of mental state and behavior based on digital data. The algorithms will analyze data collected from sensors in smartphones and wearable technology, and data collected from Internet and smartphone usage and activities. In the future, new medical measures that assist with the screening, diagnosis, and monitoring of psychiatric disorders will be available despite unresolved reliability, usability, and privacy issues. At the same time, similar non-medical commercial measures of mental state are being developed primarily for targeted advertising. There are societal and ethical implications related to the use of these measures of mental state and behavior for both medical and non-medical purposes. |
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 % |
|---|---|---|
| Switzerland | 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| France | 1 | <1% |
| Unknown | 254 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 21% |
| Student > Master | 43 | 16% |
| Student > Bachelor | 34 | 13% |
| Researcher | 30 | 11% |
| Student > Postgraduate | 13 | 5% |
| Other | 47 | 18% |
| Unknown | 40 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 55 | 21% |
| Psychology | 43 | 16% |
| Medicine and Dentistry | 27 | 10% |
| Engineering | 18 | 7% |
| Neuroscience | 12 | 5% |
| Other | 59 | 23% |
| Unknown | 47 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 December 2021.
All research outputs
#5,877,974
of 22,780,165 outputs
Outputs from Current Psychiatry Reports
#502
of 1,190 outputs
Outputs of similar age
#62,666
of 256,322 outputs
Outputs of similar age from Current Psychiatry Reports
#21
of 43 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has gotten more attention than average, scoring higher than 57% 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 256,322 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 75% of its contemporaries.
We're also able to compare this research output to 43 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 51% of its contemporaries.