1,721,086 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Integrating biological and social science data: the expertise of Understanding Society
Michaela Benzeval talks at the NCRM Autumn School 2017
https://www.ncrm.ac.uk/autumn
What is biosocial research?
Professor Michaela Benzeval considers ways in which biomarker and genetics data might be included in social science research across different disciplines
Integrating biological and social data for (biosocial) research
In this video, I am talking about: what kinds of biological data we might have in social surveys that enables us to do this kind of research; and then give examples of research questions that we could answer with these data and; show how they might contribute to understanding of health and to policy.
This video is part of an Online Learning Resource created by NCRM. This is video 1 of 2.
https://www.ncrm.ac.uk/resources/online/biosocial_research_in_social_surveys
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
How to use biological data in social science research?
In this video I look into how we might combine biological and social data in order to understand people's health and society better. In this part of the video we're going to look at what biological data look like, and some of the things that we need to take into account when we are analyzing them. And I'm going to give you some information about the kinds of studies that include these data and where you might go to for further advice.
This video is part of an Online Resource created by NCRM. This is video 2 of 2.
https://www.ncrm.ac.uk/resources/online/biosocial_research_in_social_surveys
The self-reported health status of lone parents
A number of studies have shown that lone parents have poorer health status than the general population. However, what is missing from the existing literature is any systematic assessment of the contribution that lone parents' relatively poor socioeconomic circumstances make to their relative health disadvantage. This paper aims to fill this gap. It employs a large national dataset based on three consecutive years of the British General Household Survey (1992/1993 to 1994/1995) to assess the relative health status of lone parents in comparison to couple parents, and to evaluate the importance of different explanations for their health differences. The results confirm that lone parents, particularly lone mothers, have poor health status relative to parents living as couples. The observed health differences mirror variations in socioeconomic circumstances. However, even when a wide range of demographic and socioeconomic circumstances are included in multivariate models, lone mothers still have significantly poorer health than couple mothers for four out of five health variables. The paper concludes by discussing alternative explanations for the health differences between lone and couple parents -- such as the absence of an intimate/confiding relationship, the stress and stigma associated with becoming a lone parent and health selection -- and by highlighting future options for policy and research in this area.lone parents self-reported health social relationships one-parent families socioeconomic circumstances
Dispelling the Myths Behind First-author Citation Counts
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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