Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization
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- Nature Methods
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doi.org/10.1038/nmeth992 →Countries where authors are citing Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization
This map shows the geographic impact of Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization. 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 Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization more than expected).
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This network shows the impact of Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.
About Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization
This paper, published in 2006, received 298 indexed citations . Written by Sjors H. W. Scheres, Haixiao Gao, Mikel Valle, Gábor T. Herman, P. P. B. Eggermont, Joachim Frank and J.M. Carazo covering the research area of Structural Biology, Molecular Biology and Ecology. It is primarily cited by scholars working on Molecular Biology (189 citations), Structural Biology (185 citations) and Surfaces, Coatings and Films (102 citations). Published in Nature Methods.
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This paper is also available at doi.org/10.1038/nmeth992.