Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
Countries where authors are citing Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
This map shows the geographic impact of Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis. 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 Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis more than expected).
Fields of papers citing Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
This network shows the impact of Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.
About Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
This paper, published in 2019, received 275 indexed citations . Written by Shahab Haghayegh, Sepideh Khoshnevis, Michael H. Smolensky, Kenneth R. Diller and Richard J. Castriotta covering the research area of Cognitive Neuroscience, Physiology and Experimental and Cognitive Psychology. It is primarily cited by scholars working on Experimental and Cognitive Psychology (175 citations), Cognitive Neuroscience (108 citations) and Physiology (71 citations). Published in Journal of Medical Internet Research.
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/10.2196/16273.