1,720,956 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
Perinatal depression during the fourth wave of the COVID-19 outbreak in a single prenatal clinic in Southern Italy: The role of loneliness, anxiety, and maternal support
Full text linkBackground: The current study aimed at assessing the levels of perinatal depression (i.e., both antenatal and postnatal) during the fourth wave of the COVID-19 outbreak in a group of Italian women, as well as to evaluate the role of loneliness, anxiety, and lack of maternal support in cumulatively predicting perinatal depression. Methods: A cross-sectional study was conducted with 200 Italian women recruited during a peak of the COVID-19 pandemic in Italy (i.e., from September to December 2021) from a single prenatal clinic in Southern Italy. A non-parametric binomial test was conducted to assess whether the perinatal depression frequencies of the current sample differed from those found in a pre-Covid reference group. Additionally, hierarchical multiple linear regression analyses assessing whether loneliness, anxiety, and maternal support affected women's perinatal depression were also conducted. Results: The general prevalence of perinatal depression was significantly higher in participants recruited during the fourth wave of the COVID-19 pandemic compared to the pre-Covid reference group (29% vs. 9.2%). However, results showed that, contrary to postnatal depression (18.2% vs. 19.9%), only the prevalence of antenatal depression was significantly higher compared to the pre-Covid reference group (39.6% vs. 6.4%). Furthermore, loneliness and anxiety, but not maternal support, were associated with higher levels of PD. Limitations: Limitations concerned the cross-sectional nature of the study and the relatively small sample size. Conclusions: This study sheds light on the need to address perinatal mental health of women during major stressful events, such as the COVID-19 pandemic
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
Obstetric violence in a group of Italian women: socio-demographic predictors and effects on mental health
Full text linkThis study had two aims: (1) to explore the types and incidence of obstetric violence (OV) in a group of Italian women, as well as associated socio-demographic factors; and (2) to assess whether OV affects women’s mental health (e.g. psychological distress and post-traumatic stress). A web-based cross-sectional study was conducted with 282 Italian women. Women answered questions on socio-demographic factors, childbirth characteristics, OV and mental health. Multiple linear regression analyses assessing the predictive role of socio-demographic and childbirth characteristics on OV were conducted. Additionally, hierarchical multiple linear regression analyses assessing whether OV affected women’s mental health were also carried out. More than three quarters of the sample (78.4%) had experienced at least one type of OV (55.5% of non-consented care and 66.4% of abuse and violence). The factors most associated with OV were younger age, low educational level, not having attended a prenatal childbirth preparedness course, and having given birth naturally. The form of OV that most affected women’s mental health was that linked to abuse and violence rather than non-consented care. Study findings shed light into addressing OV from a multidimensional perspective
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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