130,422 research outputs found

    Changes in educational differentials in old-age mortality in Finland and Sweden between 1971-1975 and 1996-2000

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    BACKGROUND The majority of the studies on developed countries confirm that socioeconomic mortality inequalities have been persisting or even widening. It has also been suggested that inequalities have been becoming increasingly important for old ages. OBJECTIVE In this study we systematically assess the direction and magnitude of changes in mortality differences at old ages in Sweden and Finland over the period 1971 to 2000. METHODS The vast majority of the findings on mortality differentials rely on life table or aggregated mortality measures. However, conventional mean lifespan (life expectancy) hides important characteristics of the distribution of lifespan. Modal age at death and measures of disparity provide additional important insights on longevity, especially when focusing on mortality and survival at old ages. In this paper we use high quality census-linked data and both conventional life expectancy and distribution of life span measures. RESULTS We found that the educational gap in life expectancy at age 65 and the total amount of mortality inequality by education, as reflected by average inter-group difference, increased in both countries. With the exception of Swedish females, the corresponding gap in modal age at death decreased. CONCLUSIONS Although the results suggest that the life expectancy gap is largely explained by differential mortality due to cardiovascular system diseases, the role of other causes of death (especially cancers) has also increased

    Gender difference in cognitive health among older Indian adults: A cross-sectional multilevel analysis

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    Singh PK, Jasilionis D, Oksuzyan A. Gender difference in cognitive health among older Indian adults: A cross-sectional multilevel analysis. SSM - Population Health. 2018;5:180-187

    La transition sanitaire à l'épreuve d'une histoire tourmentée: le cas des pays baltes

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    The modern history of the three Baltic countries of Estonia, Latvia and Lithuania has been&nbsp;profoundly marked by war and political upheaval. Analysing changes in life expectancy in these&nbsp;countries over the last century, Jacques Vallin, Domantas Jasilionis and France Mesl&eacute; examine&nbsp;the scars left behind by these disruptive historical events.</p

    A Cross-National Study of the Gender Gap in Health Among Older Adults in India and China: Similarities and Disparities

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    Oksuzyan A, Singh PK, Christensen K, Jasilionis D. A Cross-National Study of the Gender Gap in Health Among Older Adults in India and China: Similarities and Disparities. The Gerontologist. 2018;58(6):1156-1165

    Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior

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    Oksuzyan A, Dańko MJ, Caputo J, Jasilionis D, Shkolnikov VM. Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior. Social Science &amp; Medicine. 2019;228:41-50

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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