Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

3.1k indexed citations
published 2012
Authors
Mavuto Mukaka
Journal
PubMed

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doi.org/w84260991 →

Countries where authors are citing Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

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This map shows the geographic impact of Statistics corner: A guide to appropriate use of correlation coefficient in medical research.. 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 Statistics corner: A guide to appropriate use of correlation coefficient in medical research. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics corner: A guide to appropriate use of correlation coefficient in medical research. more than expected).

Fields of papers citing Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Statistics corner: A guide to appropriate use of correlation coefficient in medical research.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Statistics corner: A guide to appropriate use of correlation coefficient in medical research..

About Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

This paper, published in 2012, received 3.1k indexed citations . Written by Mavuto Mukaka covering the research area of Genetics. It is primarily cited by scholars working on Surgery (408 citations), Biomedical Engineering (319 citations) and Physiology (287 citations). Published in PubMed.

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/w84260991.

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