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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utility and limitations of PHQ-9 in a clinic specializing in psychiatric care
|
|---|---|
| Published in |
BMC Psychiatry, July 2012
|
| DOI | 10.1186/1471-244x-12-73 |
| Pubmed ID | |
| Authors |
Takeshi Inoue, Teruaki Tanaka, Shin Nakagawa, Yasuya Nakato, Rie Kameyama, Shuken Boku, Hiroyuki Toda, Tsugiko Kurita, Tsukasa Koyama |
| Abstract |
The Patient Health Questionnaire-9 (PHQ-9), despite its excellent reliability and validity in primary care, has not been examined for administration to psychiatric patients. This study assesses the accuracy of PHQ-9 in screening for major depressive episode and in diagnosing major depressive episode in patients of a psychiatric specialty clinic. |
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 % |
|---|---|---|
| Egypt | 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 % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 104 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 20% |
| Researcher | 9 | 9% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Postgraduate | 6 | 6% |
| Other | 21 | 20% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 31% |
| Psychology | 12 | 11% |
| Nursing and Health Professions | 9 | 9% |
| Computer Science | 3 | 3% |
| Arts and Humanities | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 35 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 26 October 2020.
All research outputs
#1,875,303
of 22,669,724 outputs
Outputs from BMC Psychiatry
#638
of 4,634 outputs
Outputs of similar age
#12,154
of 164,352 outputs
Outputs of similar age from BMC Psychiatry
#9
of 73 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 86% 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 164,352 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 92% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.