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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Greater variability in daily sleep efficiency predicts depression and anxiety in young adults: Estimation of depression severity using the two-week sleep quality records of wearable devices
|
|---|---|
| Published in |
Frontiers in Psychiatry, November 2022
|
| DOI | 10.3389/fpsyt.2022.1041747 |
| Pubmed ID | |
| Authors |
Jae-A Lim, Je-Yeon Yun, Soo-Hee Choi, Susan Park, Hye Won Suk, Joon Hwan Jang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Switzerland | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Psychology | 2 | 9% |
| Computer Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Linguistics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 04 January 2024.
All research outputs
#1,363,461
of 25,634,695 outputs
Outputs from Frontiers in Psychiatry
#819
of 12,870 outputs
Outputs of similar age
#29,559
of 442,362 outputs
Outputs of similar age from Frontiers in Psychiatry
#30
of 738 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 93% 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 442,362 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 738 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 95% of its contemporaries.