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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Asian-White disparities in short sleep duration by industry of employment and occupation in the US: a cross-sectional study
|
|---|---|
| Published in |
BMC Public Health, June 2014
|
| DOI | 10.1186/1471-2458-14-552 |
| Pubmed ID | |
| Authors |
Chandra L Jackson, Ichiro Kawachi, Susan Redline, Hee-Soon Juon, Frank B Hu |
| Abstract |
Although short sleep is associated with an increased risk of morbidity as well as mortality and has been shown to vary by industry of employment and occupation, little is known about the relationship between work and sleep among Asian Americans. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Researcher | 6 | 9% |
| Student > Postgraduate | 5 | 8% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 21 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Nursing and Health Professions | 10 | 15% |
| Social Sciences | 8 | 12% |
| Psychology | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 26 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 June 2014.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Public Health
#10,446
of 15,466 outputs
Outputs of similar age
#119,518
of 230,411 outputs
Outputs of similar age from BMC Public Health
#195
of 282 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 230,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.