Citation 487

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

Citation source: INSTAGRAM, “Identifier ses émotions”, published on 2 Mar 2026

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Cited reference

(Kinnaird, Stewart & Tchanturia, 2019) - Investigating alexithymia in autism: A systematic review and meta-analysis - DOl: 10.1016/j.eurpsy. 10.1016/j.eurpsy.2018.09.004

Identified reference

Validated match

Kinnaird E; Stewart C; Tchanturia K (2019). Investigating alexithymia in autism: A systematic review and meta-analysis. European psychiatry: the journal of the Association of European Psychiatrists, Crossref+PubMed, Crossref+PubMed. https://doi.org/10.1016/j.eurpsy.2018.09.004

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 Kinnaird E; Stewart C; Tchanturia K (2019). Investigating alexithymia in autism: A systematic review and meta-analysis. European psychiatry: the journal of the Association of European Psychiatrists. https://doi.org/10.1016/j.eurpsy.2018.09.004

M1: Crossref is selected because its DOI matches the DOI provided in the cited reference.

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 Not present (absent) - -
DOI Concordant 100.0% 0.20

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

Title correspondence details (Jaccard index)

Union: 5 words present in the titles
alexithymia; investigating; meta-analysis; review; systematic
Intersection: 5 shared words
alexithymia; investigating; meta-analysis; review; systematic
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
hyphenated compound words kept: meta-analysis; domain words excluded from the calculation: autism
Index calculation
Jaccard index = intersection / union = 5 / 5 = 100.0 %
Jaccard index
100.0% (very high lexical similarity)

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