Citation 224

Bibliographic concordance score: 100/100 (very high correspondence)

Citation source: BLOG, “Soutien dans l'autisme: le rôle des proches”, published on 6 Oct 2025

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Cited reference

Botha, M., & Frost, D. M. (2020). Extending the minority stress model to understand mental health problems experienced by the autistic population. Society and Mental Health, 10(1), 20-34.

Identified reference

Validated match

Botha, Monique; Frost, David M. (2020). Extending the Minority Stress Model to Understand Mental Health Problems Experienced by the Autistic Population. Society and Mental Health. https://doi.org/10.1177/2156869318804297

Open identified reference source Search the cited reference in Google Scholar

Candidate references (M1 and M2)

Method Jaccard index Source Candidate reference
M1: Crossref, OpenAlex and PubMed 100.0% M1: Crossref Botha, Monique; Frost, David M. (2020). Extending the Minority Stress Model to Understand Mental Health Problems Experienced by the Autistic Population. Society and Mental Health. https://doi.org/10.1177/2156869318804297

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

Bibliographic concordance score calculation

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

(Authors 100.0x0.20 + Title 100.0x0.20 + Year 100.0x0.20 + Journal 100.0x0.20) / evaluated weight 0.80 (DOI absent: 0.20 removed) = 100.0

Title correspondence details (Jaccard index)

Union: 10 words present in the titles
experienced; extending; health; mental; minority; model; population; problems; stress; understand
Intersection: 10 shared words
experienced; extending; health; mental; minority; model; population; problems; stress; understand
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
domain words excluded from the calculation: autistic
Index calculation
Jaccard index = intersection / union = 10 / 10 = 100.0 %
Jaccard index
100.0% (very high lexical similarity)

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