Citation 194
Bibliographic concordance score: 100/100 (very high correspondence)Citation source: BLOG, “TDAH ou TSA? Comment différencier quand les deux se ressemblent”, published on 26 Jun 2025
Cited reference
Leitner, Y. (2014). The co-occurrence of autism and attention deficit hyperactivity disorder in children - what do we know? Frontiers in Human Neuroscience.
Identified reference
Validated matchLeitner, Yael (2014). The Co-Occurrence of Autism and Attention Deficit Hyperactivity Disorder in Children – What Do We Know?. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2014.00268
Verification links
Candidate references (M1 and M2)
| Method | Jaccard index | Source | Candidate reference |
|---|---|---|---|
| M1: Crossref, OpenAlex and PubMed | 100.0% | M1: Crossref | Leitner, Yael (2014). The Co-Occurrence of Autism and Attention Deficit Hyperactivity Disorder in Children – What Do We Know?. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2014.00268 |
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: 9 words present in the titles
- attention; children; co-occurrence; deficit; do; hyperactivity; know; we; what
- Intersection: 9 shared words
- attention; children; co-occurrence; deficit; do; hyperactivity; know; we; what
- Words cited but absent from the matched title
- -
- Words from the matched title absent from the citation
- -
- Tolerance applied
- hyphenated compound words kept: co-occurrence; domain words excluded from the calculation: autism; disorder
- Index calculation
- Jaccard index = intersection / union = 9 / 9 = 100.0 %
- Jaccard index
- 100.0% (very high lexical similarity)
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