1,721,512 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
Whole Genome Sequencing and Bacteriocin Gene Analysis of Lactiplantibacillus plantarum CHEN1, Which Inhibits Methicillin-Resistant Staphylococcus aureus
Full text linkTo dissect the bacteriocin gene clusters of Lactiplantibacillus plantarum CHEN1, which has a significant inhibitory effect on methicillin-resistant Staphylococcus aureus (MRSA), the whole genome of CHEN1 was sequenced using PacBio RS and Illumina platforms. antiSMASH and BAGEL4 were used to predict bacteriocin gene clusters and explore their potential action mechanisms. The whole genome sequencing results revealed that the genome of L. plantarum CHEN1 was 3 330 435 bp in size, with a GC content of 44.34%, including one chromosome sequence and eight plasmids. It contained 3 196 protein-coding genes, with 704, 2 317 and 2 775 genes being annotated in the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Cluster of Orthologous Groups of proteins (COG) databases, respectively. The genome sequencing data were submitted to NCBI under GenBank accession number PRJNA1014938. Three bacteriocin-related gene clusters, T3PKS, RiPPs and Class IIb bacteriocins, were predicted by antiSMASH and BAGEL4, meeting the prerequisites for bacteriocin expression. This study provides a bioinformatic foundation for the development and application of CHEN1 and its MRSA-inhibiting bacteriocin
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
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
Safety and Probiotic Evaluation of Lactiplantibacillus plantarum CHEN1 and Its Metabolic Analysis of Soymilk Oligosaccharides
Full text linkLactiplantibacillus plantarum was an important source of probiotics. To evaluate the safety, probiotic properties, and metabolic potential of carbohydrate-active enzymes of L. plantarum CHEN1. The genetic characteristics of the strain were analyzed through genome sequencing and functional annotation. Phenotypic experiments, including hemolytic activity assays, detection of harmful metabolites, antibiotic susceptibility testing, tolerance experiments, hydrophobicity, and autoaggregation assays were conducted to evaluate its safety and probiotic potential. Furthermore, its metabolic mechanism for soymilk oligosaccharides was elucidated. The results showed that the strain's genome lacked genes associated with harmful metabolism, such as nitroreductase and trypsin. Hemolysis tests and harmful metabolite detection were negative. Antibiotic susceptibility testing showed sensitivity to β-lactam and chloramphenicol antibiotics, with low transferability of resistance genes, indicating high safety. The strain exhibited a survival rate of 22.47% after incubation at pH2.0 for 2 h, 33.80% in 0.3% bile salts, and 73.32% in simulated gastrointestinal fluid. The hydrophobicity and autoaggregation rates were 41.83% and 13.47%, respectively, demonstrating good probiotic characteristics. Genome functional annotation revealed that the strain possessed complete metabolic pathways for raffinose and stachyose, which were validated through soymilk fermentation experiments. After fermentation, the stachyose content in soymilk decreased from 1043.83 mg/L to 536.01 mg/L, and the raffinose content decreased from 270.69 mg/L to 134.69 mg/L, indicating that CHEN1 had a strong metabolic capacity for these two sugars and the potential to degrade flatulence-inducing factors in soymilk and improve digestibility. In conclusion, L. plantarum CHEN1 exhibits potential safety and probiotic properties and can be used as a functional strain for the fermentation of plant-based foods
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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