1,720,967 research outputs found
Multiple sclerosis in Northern Sardinia, Italy: A methodological approach for genetic epidemiological studies
No full textThe etiopathogenesis of multiple sclerosis (MS) remains unclear. However, genetic factors are believed to be important in disease susceptibility. A methodological approach is presented for a population-based study aimed at investigating MS familial incidence and patterns of familial clustering in Northern Sardinia, Italy, with a reported MS prevalence of 150/100,000 population. Patients with MS since 1965 to the present and known to the MS Register for the province of Sassari will be asked to provide genealogical, comorbid and demographic information. Statistical analyses of the familial risk for MS will depend on the completeness of MS 'age at onset' data for affected individuals and age at the time family history is obtained (or age at death) for unaffected family members. Copyright © 2003 S. Karger AG, Basel
Multiple sclerosis in Northern Sardinia, Italy: a methodological approach for genetic epidemiological studies
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The Rate of Multiple Sclerosis (MS) In Relatives of MS Patients In The Province Of Sassari, Sardinia
No full textThe rate of multiple sclerosis (MS) in relatives of MS patients in the province of Sassari, Sardinia.
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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