Citation 111

General score: 100/100 (very high correspondence)

Citation source: TOOL BIBLIOGRAPHY, “ISPA Bibliographie et sources”, published on 27 Aug 2025

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Cited reference

Lai et al. - 2019 - Prevalence of Co-occurring Mental Health Diagnoses in the Autism Population

Matched reference

Lai, Meng-Chuan; Kassee, Caroline; Besney, Richard (2019). Prevalence of Co-Occurring Mental Health Diagnoses in the Autism Population: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3310628

Candidate references (M1 and M2)

Method Jaccard index Source Matched reference
M1: Crossref, OpenAlex and PubMed 100.0% M1: Crossref Lai, Meng-Chuan; Kassee, Caroline; Besney, Richard (2019). Prevalence of Co-Occurring Mental Health Diagnoses in the Autism Population: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3310628

M1: Crossref is selected because it has the highest title Jaccard index.

Overall score calculation

Element Status Score Weight
Authors Correct 100.0% 0.20
Title Correct 100.0% 0.20
Year Correct 100.0% 0.20
Journal Not present (absent) - -
DOI Not present (absent) - -

(Authors 100.0x0.20 + Title 100.0x0.20 + Year 100.0x0.20) / evaluated weight 0.60 (Journal absent: 0.20 removed; DOI absent: 0.20 removed) = 100.0

Title correspondence details (Jaccard index)

Union: 6 words present in the titles
co-occurring; diagnoses; health; mental; population; prevalence
Intersection: 6 shared words
co-occurring; diagnoses; health; mental; population; prevalence
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
hyphenated compound words kept: co-occurring; meta-analysis; domain words excluded from the calculation: autism; A part of the matched title separated by a colon is absent from the citation, but all significant cited words match the remaining segment; this omission does not affect the score. Words omitted from the calculation: meta-analysis; review; systematic.
Index calculation
Jaccard index = intersection / union = 6 / 6 = 100.0 %
Jaccard index
100.0% (excellent)