Citation 72
General 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
Sasson, N. J., & Morrison, K. E. (2019). First impressions of adults with autism improve with diagnostic disclosure and increased autism knowledge of peers. Autism, 23(1), 50-59
Matched reference
Sasson NJ; Morrison KE; Crossref+PubMed (2019). First impressions of adults with autism improve with diagnostic disclosure and increased autism knowledge of peers. Autism, Crossref+PubMed, Crossref+PubMed. https://doi.org/10.1177/1362361317729526
Verification links
Candidate references (M1 and M2)
| Method | Jaccard index | Source | Matched reference |
|---|---|---|---|
| M1: Crossref, OpenAlex and PubMed | 100.0% | M1: Crossref | Sasson NJ; Morrison KE (2019). First impressions of adults with autism improve with diagnostic disclosure and increased autism knowledge of peers. Autism. https://doi.org/10.1177/1362361317729526 |
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 | Correct | 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
- adults; diagnostic; disclosure; first; impressions; improve; increased; knowledge; peers
- Intersection: 9 shared words
- adults; diagnostic; disclosure; first; impressions; improve; increased; knowledge; peers
- Words cited but absent from the matched title
- -
- Words from the matched title absent from the citation
- -
- Tolerance applied
- domain words excluded from the calculation: autism
- Index calculation
- Jaccard index = intersection / union = 9 / 9 = 100.0 %
- Jaccard index
- 100.0% (excellent)