Citation 392

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

Citation source: INSTAGRAM, “Etude de cas: imprévus”, published on 29 Sep 2025

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Cited reference

Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) Salience network-based classification and prediction of symptom severity in children with autism

Identified reference

Validated match

Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2013.104

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 Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2013.104

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 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: 7 words present in the titles
children; classification; network-based; prediction; salience; severity; symptom
Intersection: 7 shared words
children; classification; network-based; prediction; salience; severity; symptom
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
hyphenated compound words kept: network-based; domain words excluded from the calculation: autism
Index calculation
Jaccard index = intersection / union = 7 / 7 = 100.0 %
Jaccard index
100.0% (very high lexical similarity)

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