Citation 352

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

Citation source: INSTAGRAM, “Limiter les déclencheurs”, published on 22 May 2025

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Cited reference

Stavropoulos, K. K. M. (2017). Using neuroscience as an outcome measure for behavioral interventions in autism spectrum disorders (ASD): A review. Research in Autism Spectrum Disorders, 35, 62-73.

Identified reference

Validated match

Stavropoulos, Katherine Kuhl-Meltzoff (2017). Using neuroscience as an outcome measure for behavioral interventions in Autism spectrum disorders (ASD): A review. Research in Autism Spectrum Disorders. https://doi.org/10.1016/j.rasd.2017.01.001

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 Stavropoulos, Katherine Kuhl-Meltzoff (2017). Using neuroscience as an outcome measure for behavioral interventions in Autism spectrum disorders (ASD): A review. Research in Autism Spectrum Disorders. https://doi.org/10.1016/j.rasd.2017.01.001

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: 7 words present in the titles
behavioral; interventions; measure; neuroscience; outcome; review; using
Intersection: 7 shared words
behavioral; interventions; measure; neuroscience; outcome; review; using
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
ASD -> autism spectrum disorder; domain words excluded from the calculation: autism; disorder; disorders; spectrum
Index calculation
Jaccard index = intersection / union = 7 / 7 = 100.0 %
Jaccard index
100.0% (very high lexical similarity)

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