| Title |
Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA
|
|---|---|
| Published in |
International Journal of Public Health, January 2015
|
| DOI | 10.1007/s00038-014-0647-6 |
| Pubmed ID | |
| Authors |
David S. Bickham, Yulin Hswen, Michael Rich |
| Abstract |
To determine the longitudinal and cross-sectional associations between different types of electronic media use (mobile phones, TV, computers, video games, and music) and young adolescents' depressive symptoms, and to explore the potential for household media rules to reduce young people's depression. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 220 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 40 | 18% |
| Student > Ph. D. Student | 29 | 13% |
| Student > Bachelor | 21 | 9% |
| Researcher | 20 | 9% |
| Student > Postgraduate | 14 | 6% |
| Other | 43 | 19% |
| Unknown | 55 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 52 | 23% |
| Social Sciences | 28 | 13% |
| Medicine and Dentistry | 22 | 10% |
| Nursing and Health Professions | 14 | 6% |
| Computer Science | 9 | 4% |
| Other | 29 | 13% |
| Unknown | 68 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 10 March 2020.
All research outputs
#1,143,428
of 25,374,647 outputs
Outputs from International Journal of Public Health
#109
of 1,900 outputs
Outputs of similar age
#15,084
of 361,103 outputs
Outputs of similar age from International Journal of Public Health
#2
of 34 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 94% 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 361,103 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 34 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 94% of its contemporaries.