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Citation 492
Bibliographic concordance score: 75/100 (partial correspondence)Citation source: INSTAGRAM, “Je sais pas”, published on 15 Apr 2026
Cited reference
Kinnaird, E., Stewart, C., & Tchanturia, K. (2019). Investigating alexithymia in autism: A systematic review and meta-analysis. DOl: 10.1016/j.eurpsy.2018.10.008
Identified reference
Validated matchKinnaird E; Stewart C; Tchanturia K (2019). Investigating alexithymia in autism: A systematic review and meta-analysis. European psychiatry: the journal of the Association of European Psychiatrists, 55, Crossref+PubMed. https://doi.org/10.1016/j.eurpsy.2018.09.004
Verification links
Candidate references (M1 and M2)
| Method | Jaccard index | Source | Candidate reference |
|---|---|---|---|
| M1: Crossref, OpenAlex and PubMed | 100.0% | M1: Crossref | Kinnaird E; Stewart C; Tchanturia K (2019). Investigating alexithymia in autism: A systematic review and meta-analysis. European psychiatry: the journal of the Association of European Psychiatrists, 55. https://doi.org/10.1016/j.eurpsy.2018.09.004 |
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 | Non-concordant | 0.0% | 0.20 |
(Authors 100.0x0.20 + Title 100.0x0.20 + Year 100.0x0.20 + DOI 0.0x0.20) / evaluated weight 0.80 (Journal absent: 0.20 removed) = 75.0
Title correspondence details (Jaccard index)
- Union: 5 words present in the titles
- alexithymia; investigating; meta-analysis; review; systematic
- Intersection: 5 shared words
- alexithymia; investigating; meta-analysis; review; systematic
- Words cited but absent from the matched title
- -
- Words from the matched title absent from the citation
- -
- Tolerance applied
- hyphenated compound words kept: meta-analysis; domain words excluded from the calculation: autism
- Index calculation
- Jaccard index = intersection / union = 5 / 5 = 100.0 %
- Jaccard index
- 100.0% (very high lexical similarity)
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