1,720,997 research outputs found
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
Variations on the Author
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Validating the Core Set for Vocational Rehabilitation in a Population of Cancer Survivors: A Cross-Sectional Study
Full text linkPurpose: The Core Set for Vocational Rehabilitation (CS-VR), a checklist based on the International Classification of Functioning, Disability and Health (ICF), captures the work functioning of individuals requiring VR. By listening to cancer survivors' experiences and stakeholders' perspectives, the CS-VR-Onco of 85 ICF-based categories was obtained. The aim of this study was to assess the concurrent validity of the CS-VR-Onco by measuring this tool's ability to detect differences among cancer survivors in terms of perceived return to work (RTW)-related difficulties. Methods: A sample of 300 working-age individuals with a first diagnosis of cancer was selected through the local Cancer Registry. Of these 300, those employed individuals who had returned to work were deemed eligible. Through a guided interview, participants reported and described their perceived RTW-related difficulties using the terminology of the CS-VR-Onco. Frequencies and means were used to compare the results of (a) cancer survivors who reported having had difficulties with those who had not, and (b) cancer survivors who had undergone chemotherapy (CT) with those who had not. Results: Of the 104 respondents, 35 cancer survivors (Group 1) reported having had RTW-related difficulties and CS-VR-Onco-described problems, while 54 reported no difficulties but did highlight some problems (Group 2), and 15 reported neither difficulties nor problems (Group 3). The categories of the CS-VR-Onco that were prioritized were similar across groups, but Group 1 had higher frequencies than did Group 2 + 3 in 69 categories out of 85. In the second comparison, 40 cancer survivors who had undergone CT had higher frequencies than did 64 cancer survivors who had not undergone CT, but this trend was not applicable to 23 categories of the CS-VR-Onco. Seven categories were not reported as problems by all participants. Conclusion: The CS-VR-Onco identified more problems in cancer survivors who reported RTW-related difficulties and differences between cancer survivors who had undergone CT and those who had not. These results contribute to assessing the preliminary validity of the tool
Patterns and determinants of patient sharing in end-of-life health services: Empirical evidence from the Italian National Health Service
Full text linkEnd-of-life (EoL) care is critical for cancer patients, who tend to have high service needs that are dispersed across organizations and different levels of care. Although EOL has been widely studied, little is known about the patterns of coordination among EoL health care providers and how they contribute to the care of cancer patients. This study adopts a network perspective to examine the complex patterns of patient sharing among health care providers involved in EoL care, using data on the use of EoL health care services by 266 cancer patients in a large Local Health Authority in Italy. We conducted a social network analysis of the structural properties of the emerging network and used logistic regression-quadratic assignment procedures (LR-QAP) to explore how characteristics of health care providers, their collaborative network, and their distances predict the likelihood of observing patient sharing relationships. Our results show that complementarities in terms of medical specialization and co-location of services positively predict the likelihood of cancer patient sharing. This probability is also positively related to the difference in terms of eigenvector centrality as well as the degree of network transitivity. We discuss the policy implications of our findings
Comment on Cheng et al. Trends and Disparities in Cardiovascular Mortality Among U.S. Adults With and Without Self-Reported Diabetes, 1988-2015. Diabetes Care 2018;41:2306-2315
No full textWe read with great interest the recently published article by Cheng et al. (1). The authors note that there was a dramatic increase in prevalence (age-standardized) between the 1980s and 2010 (3% and 9%, respectively) in the population with diabetes compared with the population without, along with a decrease in the excess risk of cardiovascular disease (CVD). The authors attribute this excess risk reduction to an improvement in primary and secondary diabetes care. However, it must be remembered that the diabetes diagnostic criteria have changed over the years. In 1997, the fasting blood glucose threshold for diagnosis went from 140 to 126 mg/dL, precisely in view of the increased risk of CVD in patients with blood glucose levels between 126 and 140 mg/dL (2). This change, combined with more frequent screening in the population at an everyounger age (3) and greater disease awareness in the population (4), means that self-reported diabetes no longer describes the same disease described
in the 1980s. This phenomenon implies not only that some individuals with diabetes in the 1980s were included in the healthy population (which mathematically has a minimal impact on the CVD incidence comparison between the population with and without diabetes, as the authors rightly note in their discussion of the study’s limitations), but mainly that the population with diabetes in the 1980s suffered from much more severe disease (the relationship between blood glucose level and cardiovascular risk showed a dose-response effect). Diabetes was also usually diagnosed later, and therefore patients were at higher risk of complications, as demonstrated by the phenomenon of “legacy” (metabolic memory) (5),
than was the case with diabetes diagnosed in the 2000s. The change in definition and the increased ability to diagnose this condition at least partially justify the dramatic prevalence increase, which is probably also due to a real increase in diabetes and its causes such as obesity. These changes also justify the reduction of excess risk through a dilution effect of the denominator of the population with diabetes, which progressively includes people with lower blood glucose levels and a shorter duration of prediagnosis disease and therefore less risk. Nevertheless, the change in diagnostic criteria and the increase in diagnosis of a subgroup of the population with diabetes with fewer complications do not impact the reduction of the cardiovascular risk gap between women and men in this population, compared with the gap existing in the general population. The main findings of Cheng et al. are thus valid and worth investigating further to understand underlying mechanisms
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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