1,721,033 research outputs found

    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

    Variations on the Author

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    “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

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    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

    Predictive modelling of facial features from DNA

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    Background: In recent years, attention to the genetic architecture of normal-range variation in facial morphology has risen and through GWAS genetic loci associated with facial morphology have been identified. However these give no insight in how the face is shaped by genetics. To investigate the relationship between the genotype and the phenotype, predictive modelling can be used. Predictive modelling is a term used to describe genetic prediction models: tools that aim to predict a phenotype from the genotype.Objectives: The objective of this project was to investigate the possibility of predictive modelling of facial features from DNA. This method could be used to visualize the variation in facial features caused by the underlying geneticsMethods: In this project the LDAK genetic prediction model was used, this is a software package for phenotype prediction, which uses multilinear regression. Two different datasets were used for this study: Generation R and the Rotterdam Study. Generation R data existed of subjects at the age of nine years old and from the Rotterdam study subjects ≥ 45 years old were included. The datasets were processed individually. From both datasets, phenotype and genotype data was used. The phenotype data consisted of 3D facial meshes that were reduced to 200 endophenotypes with an auto-encoder prior to this study, and genotype data consisted of SNPs acquired using genotyping arrays. The prediction model was trained on 90% of the data, the other 10% was used for testing, where the facial morphology was predicted based on the SNPs. To evaluate the prediction a similarity measure was computed between the predicted faces and the ground truth faces. The similarity measure was computed between each predicted face and all ground truth faces in the test set, thereafter they were ranked in ascending order based on the computed similarity. Next the rank of the true ground truth was determined. Based on the ranking, an accuracy plot was constructed for both datasets and the accuracy ratios (AR) were computed.Results: For the Generation R dataset the AR found was 0.06 for the Generation R dataset and 0.02 for the Rotterdam Study dataset. The results indicate there is some predictive power, however the AR’s are only slightly above the lower bound for presence of predictive performance. Furthermore, there was a difference in the AR for the Generation R and Rotterdam Study dataset, which could be the result of increased environmental component in facial morphology which reduced the genetic predictability. However, currently the predictive power is minimal. This could be caused by several factors, such as the number of subjects and prediction model that is restricted to only linear relationships. Conclusion: The objective of this project was to explore the possibility of predictive modelling of facial features from DNA. It was found that there was some predictive power, however this was very limited. Research on predictive modelling of facial features is still in early stages and further research is required to improve the predictive power.Technical Medicine | Imaging and Interventio

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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