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Citation 125

General score: 0/100 (nonexistent reference)

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

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Cited reference

Mandy et al. - 2018 - “I Predict You’ll be Average”: Educational Needs and Outcomes in ASD

Matched reference

Aujla, Mandy; Crossref; Crossref (2009). Dicer and Drosha predict outcomes in ovarian cancer. Nature Reviews Clinical Oncology. https://doi.org/10.1038/nrclinonc.2009.5

Candidate references (M1 and M2)

Method Jaccard index Source Matched reference
M1: Crossref, OpenAlex and PubMed 16.7% M1: Crossref Aujla, Mandy (2009). Dicer and Drosha predict outcomes in ovarian cancer. Nature Reviews Clinical Oncology. https://doi.org/10.1038/nrclinonc.2009.5
M2: Google Scholar via SerpApi 0.0% M2: Google Scholar W Mandy; M Murin; O Baykaner (2016). ... education for children with autism spectrum disorder: An evaluation of the Systemic Transition in Education Programme for Autism Spectrum Disorder (STEP-ASD). . https://doi.org/10.1177/1362361315598892

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

Overall score calculation

Element Status Score Weight
Authors Irregular 0.0% 0.20
Title Irregular 16.7% 0.20
Year Irregular 0.0% 0.20
Journal Not present (absent) - -
DOI Not present (absent) - -

(Authors 0.0x0.20 + Title 16.7x0.20 + Year 0.0x0.20) / evaluated weight 0.60 (Journal absent: 0.20 removed; DOI absent: 0.20 removed) = 5.6

Title correspondence details (Jaccard index)

Union: 12 words present in the titles
average; educational; i; ll; needs; outcomes; predict; you; cancer; dicer; drosha; ovarian
Intersection: 2 shared words
outcomes; predict
Words cited but absent from the matched title
average; educational; i; ll; needs; you
Words from the matched title absent from the citation
cancer; dicer; drosha; ovarian
Tolerance applied
ASD -> autism spectrum disorder; domain equivalence tolerated: autism / autism spectrum condition(s) / autism spectrum disorder(s)
Index calculation
Jaccard index = intersection / union = 2 / 12 = 16.7 %
Jaccard index
16.7% (very weak)