| Title |
Elevated depressive symptoms in metabolic syndrome in a general population of Japanese men: a cross-sectional study
|
|---|---|
| Published in |
BMC Public Health, September 2013
|
| DOI | 10.1186/1471-2458-13-862 |
| Pubmed ID | |
| Authors |
Atsuko Sekita, Hisatomi Arima, Toshiharu Ninomiya, Tomoyuki Ohara, Yasufumi Doi, Yoichiro Hirakawa, Masayo Fukuhara, Jun Hata, Koji Yonemoto, Yukiko Ga, Takanari Kitazono, Shigenobu Kanba, Yutaka Kiyohara |
| Abstract |
Uncertainty still surrounds the association between metabolic syndrome (MetS) and depression. We aimed to evaluate the association between MetS and elevated depressive symptoms in a general Japanese population. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| India | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 10 | 15% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 28% |
| Nursing and Health Professions | 11 | 16% |
| Psychology | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Neuroscience | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 20 | 30% |
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 22 September 2013.
All research outputs
#16,919,456
of 25,654,806 outputs
Outputs from BMC Public Health
#13,047
of 17,751 outputs
Outputs of similar age
#129,678
of 214,058 outputs
Outputs of similar age from BMC Public Health
#243
of 307 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 23rd percentile – i.e., 23% 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 214,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.