Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w53979043 →Countries where authors are citing Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
This map shows the geographic impact of Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. 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 Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences more than expected).
Fields of papers citing Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
This network shows the impact of Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences.
About Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
This paper, published in 2009, received 2.1k indexed citations . Written by Linda M. Collins and Stephanie T. Lanza. It is primarily cited by scholars working on Clinical Psychology (615 citations), Sociology and Political Science (514 citations) and General Health Professions (363 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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This paper is also available at doi.org/w53979043.