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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
Get PDFTemporal characterisation of physical activity in children is require df oreffectivs strategie sto increase physical activity(PA)
Modelling accelerometer data from 7-year old British children using functional analysis of variance
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Using cohort studies in lifecourse epidemiology
No full textSummary:
The UK Medical Research Council (MRC) Population Health Sciences Research Network is a network of MRC research units and centres that aims to bring together and add value to existing MRC investment in public health, health services and epidemiological research. This symposium held in August 2011 at the World Congress of Epidemiology, Edinburgh, discussed a range of topics including methodology and analytical issues based on a number of examples of cohort studies within the context of lifecourse epidemiology
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