| Title |
Baseline characteristics of depressive disorders in Thai outpatients: findings from the Thai Study of Affective Disorders
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, January 2014
|
| DOI | 10.2147/ndt.s56680 |
| Pubmed ID | |
| Authors |
Tinakon Wongpakaran, Nahathai Wongpakaran, Manee Pinyopornpanish, Usaree Srisutasanavong, Peeraphon Lueboonthavatchai, Nattaporn Apisiridej, Donruedee Petchsuwan, Nattha Saisavoey, Kamonporn Wannarit, Thawanrat Ruktrakul, Ruk Srichan, Sirina Satthapisit, Daochompu Nakawiro, Thanita Hiranyatheb, Anakevich Temboonkiat, Namtip Tubtimtong, Sukanya Rakkhajeekul, Boonsanong Wongtanoi, Sitthinant Tanchakvaranont, Putipong Bookkamana, Raviwan Nivataphand |
| Abstract |
The Thai Study of Affective Disorders was a tertiary hospital-based cohort study developed to identify treatment outcomes among depressed patients and the variables involved. In this study, we examined the baseline characteristics of these depressed patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Doctoral Student | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 38% |
| Medicine and Dentistry | 8 | 22% |
| Economics, Econometrics and Finance | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 January 2018.
All research outputs
#13,168,771
of 22,743,667 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,240
of 2,979 outputs
Outputs of similar age
#160,421
of 305,211 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#24
of 55 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,979 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 56% 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 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.