1,720,962 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Effect of mutations in putative hormone binding sites on V2 vasopressin receptor function
The vasopressin V2 receptor belongs to the large family of the G-protein coupled receptors and is responsible for the antidiuretic effect of the neurohypophyseal hormone arginine vasopressin (AVP). Based on bioinformatic studies it seems that Ala300 and Asp297 of the V2 vasopressin receptor (V2R) are involved in receptor binding. Ala300Glu mutation resulted in lower energy while Asp297Tyr mutation resulted in higher energy in AVP-V2R docked complex rather than the wild type. Therefore we hypothesized that the Ala300Glu mutation results in stronger and Asp297Tyr mutation leads to weaker ligand-receptor binding. Site directed mutagenesis of Asp297Tyr and Ala300Glu was performed using nested polymerase chain reaction. After restriction enzyme digestion, the inserts were ligated into the pcDNA3 vector and Escherichia coli XL1-Blue competent cells were transformed using commercial kit and electroporation methods. The obtained colonies were analyzed for the presence and orientation of the inserts using proper restriction enzymes. After transient transfection of COS-7 cells using ESCORTTM IV transfection reagent, the adenylyl cyclase activity assay was performed for functional studies. The cell surface expression of V2R was analyzed by indirect ELISA method. Based on the obtained results, the Ala300Glu mutation of V2R led to reduced levels of cAMP production without a marked effect on the receptor expression and the receptor binding. Effect of Asp297Tyr mutation on cell surface expression of V2R was the same as the wild type receptor. Pretreatment with 1 nM vasopressin showed an increased level of Asp297Tyr mutant receptor internalization as compared to the wild type receptor, while the effect of 100 nM vasopressin was similar in the mutant and wild type receptors. These data suggest that alterations in Asp297 but not Ala300 would affect the hormone receptor binding
Study of V2 vasopressin receptor hormone binding site using in silico methods
The antidiuretic effect of arginine vasopressin (AVP) is mediated by the vasopressin V2 receptor. The docking study of AVP as a ligand to V2 receptor helps in identifying important amino acid residues that might be involved in AVP binding for predicting the lowest free energy state of the protein complex. Whereas previous researchers were not able to detect the exact site of the ligand-receptor binding, we designed the current study to identify the vasopressin V2 receptor hormone binding site using bioinformatic methods. The 3D structure of nonapeptide hormone vasopressin was extracted from Protein Data Bank. Since no suitable template resembling V2 receptor was found, an ab initio approach was chosen to model the protein receptor. Using protein docking methods such as Hex protein-protein docking, the model of V2 receptor was docked to the peptide ligand AVP to identify possible binding sites.The residues that involved in binding site are W293, W296, D297, A300, and P301. The lowest free energy state of the protein complex was predicted after mutation in the above residues. The amount of gained energies permits us to compare the mutant forms with native forms and help to asses critical changes such as positive and negative mutations followed by ranking the best mutations. Based on the mutation/docking predictions, we found some mutants such as W293D and A300E possess positively inducing effect in ligand binding and some of them such as A300R present negatively inducing effect in ligand binding
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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