The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis is a research paper published in Psychotherapy and Psychosomatics (2019). On theSindex it has a DataRank of 4.8. It has been cited 123 times, with 110 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.723
From this paper's citation signal
Citation Network Contribution
4.1
From 90 citing papers with measurable signal
NIMH NIH HHS
Grant: R34 MH084673
NIMH NIH HHS
Grant: R01 MH069666
NHLBI NIH HHS
Grant: R01 HL079235
NIMH NIH HHS
Grant: R01 MH073687
MRF_
Grant: C0396
NIMH NIH HHS
Grant: F30 MH096664
Medical Research Council
Grant: MR/J000914/1
AHRQ HHS
Grant: R36 HS018246
NCIPC CDC HHS
Grant: R49 CE002093
NCRR NIH HHS
Grant: TL1 RR024135
NIDDK NIH HHS
Grant: P30 DK050456
NIMH NIH HHS
Grant: R34 MH072925
NIGMS NIH HHS
Grant: T32 GM007356
NIMH NIH HHS
Grant: K02 MH065919
NIMHD NIH HHS
Grant: T37 MD001449
NIMH NIH HHS
Grant: R24 MH071604
FWCI
3.65
Citation Percentile
0.9%
Influential Citations
4
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Acupressure therapy and Liu Zi Jue Qigong for pulmonary function and quality of life in patients with severe novel coronavirus pneumonia (COVID-19): a study protocol for a randomized controlled trial
Additional file 1 of Acupressure therapy and Liu Zi Jue Qigong for pulmonary function and quality of life in patients with severe novel coronavirus pneumonia (COVID-19): a study protocol for a randomized controlled trial
Additional file 1 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 1 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 2 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 2 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 3 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 3 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 4 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 4 of Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies
Additional file 1 of Development and validation of a predictive model for depression risk in the U.S. adult population: Evidence from the 2007–2014 NHANES
Additional file 1 of Development and validation of a predictive model for depression risk in the U.S. adult population: Evidence from the 2007–2014 NHANES
Supplementary Material for: The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
Supplementary Material for: The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis