Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient

611 indexed citations

Abstract

loading...

About

This paper, published in 2011, received 611 indexed citations. Written by Nicola Chirico and Paola Gramatica covering the research area of Environmental Chemistry, Materials Chemistry and Computational Theory and Mathematics. It is primarily cited by scholars working on Computational Theory and Mathematics (378 citations), Organic Chemistry (166 citations) and Molecular Biology (126 citations). Published in Journal of Chemical Information and Modeling.

Countries where authors are citing Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient

Specialization
Citations

This map shows the geographic impact of Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient more than expected).

Fields of papers citing Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1021/ci200211n.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026