Citation 392
General score: 100/100 (very high correspondence)Citation source: INSTAGRAM, “Etude de cas: imprévus”, published on 29 Sep 2025
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
Matched reference
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
Verification links
Candidate references (M1 and M2)
| Method | Jaccard index | Source | Matched 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.
Overall score calculation
| Element | Status | Score | Weight |
|---|---|---|---|
| Authors | Correct | 100.0% | 0.20 |
| Title | Correct | 100.0% | 0.20 |
| Year | Correct | 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% (excellent)