1,720,958 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
MoBIE: a Fiji plugin for sharing and exploration of multi-modal cloud-hosted big image data
No full textVariations 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
How to describe a cell: a path to automated versatile characterization of cells in imaging data
Full text linkA cell is the basic functional unit of life. Most ulticellular organisms, including animals, are composed of a variety of different cell types that fulfil distinct roles. Within an organism, all cells share the same genome, however, their diverse genetic programs lead them to acquire different molecular and anatomical characteristics. Describing these characteristics is essential for understanding how cellular diversity emerged and how it contributes to the organism function.
Probing cellular appearance by microscopy methods is the original way of describing cell types and the main approach to characterise cellular morphology and position in the organism. Present cutting-edge microscopy techniques generate immense amounts of data, requiring efficient automated unbiased methods of analysis. Not only can such methods accelerate the process of scientific discovery, they should also facilitate large-scale systematic reproducible analysis.
The necessity of processing big datasets has led to development of intricate image analysis pipelines, however, they are mostly tailored to a particular dataset and a specific research question. In this thesis I aimed to address the problem of creating more general fully-automated ways of describing cells in different imaging modalities, with a specific focus on deep neural networks as a promising solution for extracting rich general-purpose features from the analysed data. I further target the problem of integrating multiple data modalities to generate a detailed description of cells on the whole-organism level.
First, on two examples of cell analysis projects, I show how using automated image analysis pipelines and neural networks in particular, can assist characterising cells in microscopy data. In the first project I analyse a movie of drosophila embryo development to elucidate the difference in myosin patterns between two populations of cells with different shape fate. In the second project I develop a pipeline for automatic cell classification in a
new imaging modality to show that the quality of the data is sufficient to tell apart cell types in a volume of mouse brain cortex.
Next, I present an extensive collaborative effort aimed at generating a whole-body multimodal cell atlas of a three-segmented Platynereis dumerilii worm, combining high resolution morphology and gene expression. To generate a multi-sided description of cells in the atlas I create a pipeline for assigning coherent denoised gene expression profiles, obtained from spatial gene expression maps, to cells segmented in the EM volume.
Finally, as the main project of this thesis, I focus on extracting comprehensive unbiased cell morphology features from an EM volume of Platynereis dumerilii. I design a fully unsupervised neural network pipeline for extracting rich morphological representations that enable grouping cells into morphological cell classes with characteristic gene expression. I further show how such descriptors could be used to explore the morphological diversity of cells, tissues and organs in the dataset
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
- …
