Smart Citations

scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a scientific paper has been cited by providing the context of the citation and a classification describing whether it provides supporting or disputing evidence for the cited claim.

supporting

Supporting 0.93Disputing 0.01Mentioning 0.071

“…Compared to the diploid parental line, the frequencies of chromosome2

missegregation and micronuclei formation were significantly elevated in most PTA clones (Figure 2A) but not in the tetraploid line (Figure 2A). In agreement with previous work (Nicholson et al , 2015), the trisomic clones showed similar aberrations, albeit to a lesser extent (Supplemental Figure S2B). Furthermore, we observed an increase of structural aberrations in PTA lines and, consistent with earlier work (Kuznetsova et al 3 2015; Passerini et al, 2016) also in trisomic clones (Figure 2B).…”

Quantitative proteomic and phosphoproteomic comparison of human colon cancer DLD-1 cells differing in ploidy and chromosome stability

Christina Viganó et al. 2018

Molecular Biology of the Cell Section: Results

scite report

Slide 1 of 4

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Our deep learning model classifies each citation context. The numbers show how sure it is of a classification.
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You can find the exact citation context here. Clicking on the title of the citing paper takes you directly to the publication.
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You can click on any citation in the excerpt to explore related articles.
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You can see in which section of the citing paper the citation appeared.

How it Works

scite uses deep learning to classify citation statements in three categories: those that provide disputing or supporting evidence, and others, which mention the cited study without providing evidence for its validity.

Once analyzed, they are added to our database and are searchable within scite.

See any mis-classifications? Let us know! Our network of experts will re-evaluate the citation, which will further train our AI.

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About us

scite is a Brooklyn-based startup advancing citations with the introduction of smart citations. Using deep learning scite has classified over 500 million citation statements from 14 million scientific articles that support, dispute, or mention prior research. Scite is used by researchers from dozens of countries and is funded in part by the National Science Foundation and the National Institute of Drug Abuse of the National Institutes of Health.

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