1,720,963 research outputs found

    Immigration as the main driver of population dynamics in a cryptic cetacean

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    Description of the data files: 'CH_Female_Multi_2004_6events_v3.txt': Capture-recapture multievent data for females; 'CH_Female_Multi_2004_z_init_Nimble.txt': Initial values for latent z states and state at first encounter for females; 'CH_headed_Male_Multi_2004.txt': Capture-recapture multievent data for males; 'CH_headed_Male_Multi_2004_z_init.txt': Initial values for latent z states and state at first encounter for males; 'count_data.RData': Population count data; Model code: 'IPM_10.txt' All files are called in the online supplementary code for running the integrated population model.</p

    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

    Assessing the effect of density on population growth when modeling individual encounter data

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    Este artículo contiene 8 páginas, 2 figuras.The relative role of density-dependent and density-independent variation in vital rates and population size remains largely unsolved. Despite its importance to the theory and application of population ecology, and to conservation biology, quantifying the role and strength of density dependence is particularly challenging. We present a hierarchical formulation of the temporal symmetry approach, also known as the Pradel model, that permits estimation of the strength of density dependence from capture–mark–reencounter data. A measure of relative population size is built in the model and serves to detect density dependence directly on population growth rate. The model is also extended to account for temporal random variability in demographic rates, allowing estimation of the temporal variance of population growth rate unexplained by density dependence. We thus present a model-based approach that enable to test and quantify the effect of density-dependent and density-independent factors affecting population fluctuations in a single modeling framework. More generally, we use this modeling framework along with simulated and empirical data to show the value of including density dependence when modeling individual encounter data without the need for auxiliary dataFunds were partially provided by the Spanish Ministry of Economy (ref. CGL2013-42203-R and ref. CGL2017-85210-P). G. Tavecchia, R. Pradel and D. Oro were partly supported by a joint grant (PICS INTERACT, reference 272847) from CNRS in France and CSIC in Spain

    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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    Quantifying spatial variation in the size and structure of ecologically stratified communities

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    Data used in the application of the multi-region community model (MRCM) to detection non-detection data collected from bird communities in R=8 geographically distinct regions in northern Italy. We augmented the data for all regions such that M = M_r = 200, i.e., by 200-n_r species for each region. The data file contains the following objects: (i) dataREG: region-specific covariates; (ii) guild: species-by-region matrix indicating the functional group to which each species belongs; (iii) K_tot: number of sampling occasions for each site in each region; (iv) M: total number of species in the augmented data set; (v) mass: body mass (in grams) for each species in each region; (vi) nsites: total number of sites per region; (vii) nspecies: total number of observed species for each region; (viii) species: scientific name of each species observed in each region; (ix) Yaug_tot: augmented species-by-sites-by-region detection frequency matrix

    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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