Citation 62
Bibliographic concordance score: 100/100 (very high correspondence)Citation source: TOOL BIBLIOGRAPHY, “PCIPS Bibliographie des recherches à la base de notre outil de Profil cognitif d’interaction et de perception sociale”, published on 25 Jun 2025
Cited reference
Bruneau, E. G., & Saxe, R. (2010). Attitudes toward the outgroup are predicted by activity in the precuneus in Arabs and Israelis. NeuroImage, 52(4), 1704-1711.
Identified reference
Validated matchBruneau, Emile G.; Saxe, Rebecca (2010). Attitudes towards the outgroup are predicted by activity in the precuneus in Arabs and Israelis. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.05.057
Verification links
Candidate references (M1 and M2)
| Method | Jaccard index | Source | Candidate reference |
|---|---|---|---|
| M1: Crossref, OpenAlex and PubMed | 100.0% | M1: Crossref | Bruneau, Emile G.; Saxe, Rebecca (2010). Attitudes towards the outgroup are predicted by activity in the precuneus in Arabs and Israelis. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.05.057 |
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: 8 words present in the titles
- activity; arabs; attitudes; israelis; outgroup; precuneus; predicted; toward; towards
- Intersection: 8 shared words
- activity; arabs; attitudes; israelis; outgroup; precuneus; predicted; toward ~= towards
- Words cited but absent from the matched title
- -
- Words from the matched title absent from the citation
- -
- Tolerance applied
- singular/plural tolerated: toward ~= towards
- Index calculation
- Jaccard index = intersection / union = 8 / 8 = 100.0 %
- Jaccard index
- 100.0% (very high lexical similarity)
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