| Title |
Web-based tools can be used reliably to detect patients with major depressive disorder and subsyndromal depressive symptoms
|
|---|---|
| Published in |
BMC Psychiatry, April 2007
|
| DOI | 10.1186/1471-244x-7-12 |
| Pubmed ID | |
| Authors |
Chao-Cheng Lin, Ya-Mei Bai, Chia-Yih Liu, Mei-Chun Hsiao, Jen-Yeu Chen, Shih-Jen Tsai, Wen-Chen Ouyang, Chia-hsuan Wu, Yu-Chuan Li |
| Abstract |
Although depression has been regarded as a major public health problem, many individuals with depression still remain undetected or untreated. Despite the potential for Internet-based tools to greatly improve the success rate of screening for depression, their reliability and validity has not been well studied. Therefore the aim of this study was to evaluate the test-retest reliability and criterion validity of a Web-based system, the Internet-based Self-assessment Program for Depression (ISP-D). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Indonesia | 1 | <1% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| Spain | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 96 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 14% |
| Student > Master | 13 | 12% |
| Student > Ph. D. Student | 12 | 11% |
| Other | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Other | 25 | 24% |
| Unknown | 24 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 27% |
| Medicine and Dentistry | 16 | 15% |
| Social Sciences | 9 | 9% |
| Computer Science | 7 | 7% |
| Engineering | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 31 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 March 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from BMC Psychiatry
#3,325
of 4,633 outputs
Outputs of similar age
#65,788
of 75,676 outputs
Outputs of similar age from BMC Psychiatry
#4
of 4 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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