1,720,974 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Targeting β-glucan synthase for Mucormycosis “The \u27black fungus” maiming Covid patients in India: computational insights
No full textBlack fungus also known as Mucormycosis, has recently devastated some states of India. It has been declared pandemic now. Inhibitors of glucon synthesis pathways have been evaluated to curtail the Mucormycosis but still at infancy stage. Due to key role in glucon synthesis, in the present study β -glucan synthase has been regarded as a suitable target for drug design. In-silico docking and pharmacological study was designed to evaluate the effect of potent bioactive molecule 1-8 cineole present in essential oils of eucalyptus plant leaves against β -glucan synthase enzyme. Till date there is no work is undertaken on in-silico analysis of this compound against β -glucan synthase. Patch-dock analysis was used for docking. Ligand Protein 2D and 3D Interactions were also studied. Drug likes and toxicity profile was also evaluated. Cancer cell line toxicity profile was also studied. The calculated parameters such as docking score indicated effective binding of 1-8 cineole to β -glucan synthase -protein. Interactions results indicated that, β -glucan synthase enzyme and 1-8 cineole complexes forms hydrogen and hydrophobic interactions. 1-8 cineole also depicted sufficient level of cancer cell line toxicity. Drug likeliness profiles by assaying absorption, distribution, metabolism, excretion and toxicity (ADMET) studies provided guidelines and mechanistic scope for identification of 1-8 cineole as potent anti-fungal drug. Therefore, essential oil from eucalyptus may represent potential herbal treatment to act as anti-fungal drug.
Keywords: COVID-19, black fungus, Eucalyptus oil, Herbal Dru
A novel therapeutic eucalyptol from eucalyptus essential oil targeting penicillin binding proteins (PBPs) against gram-positive and gram-negative bacteria: molecular docking and experimental approach
No full textAntibiotic resistance in bacteria is of worldwide concern. PBP (Penicillin binding proteins) have recently been regarded as a suitable target for drug design. The present in silico docking study was designed to evaluate the effect of potent bioactive molecule eucalyptol present in essential oils of eucalyptus plant leaves against PBP4 protein. Till date there is no work is undertaken on in-silico analysis of this compounds against PBP4 of bacteria. In the present study, GC-FID (gas chromatography with flame-ionization detection) based chemical profile, molecular docking studies were conducted by using Patchdock analysis. Protein Interactions Calculator was used for protein interactions. GC-FID revealed eucalyptol as major compound in eucalyptus oil. The calculated parameters such as docking score indicated effective binding of eucalyptol to PBP4. Interactions results indicated that, PBP4 / eucalyptol complexes forms hydrogen and hydrophobic interactions. Wet lab study validated the anti-bacterial potential of oil against gram-positive and gram-negative bacteria. Therefore, essential oil from eucalyptus plant may represent potential herbal treatment to mitigate bacterial infections.
Homology modeling and molecular docking of Natural metabolites from eucalyptus essential oil against SARS-CoV-2 spike protein
Get PDFSARS-CoV-2 spreading its tentacles across the world as a major world pandemic. There is race to develop suitable drug and vaccine for this disease. Due to lack of drugs at present, various anti-HIV drugs have been repurposed. Due to its vital role in virus replication, Spike (S) protein has recently been regarded as a suitable target for drug design. With an urgent and key need for safe and effective drug to combat this disease, we have explored 12 bioactive compounds from eucalyptus oil against Spike (S) protein from SARS-CoV-2. SWISS-MODEL was used for homology modeling. Molecular docking studies were conducted by using Patchdock analysis. Protein Interactions Calculator was used for protein interactions. Pharmacokinetics and In-silico ADMET profile (absorption, distribution, metabolism, excretion and toxicity) was also studied. Docking score showed effective binding of all bioactive molecules especially Toruatone to COVID-19 S-protein. Interactions results indicated that, Spike (S) protein / Toruatone complexes forms hydrogen and hydrophobic interactions. In-silico absorption, distribution, metabolism, excretion and toxicity (ADMET) studies provided guidelines and mechanistic scope for identification of potent anti-COVID 19 drug. This study highlights the potential of existing bio-active components from essential oil from eucalyptus to act as anti-COVID-19 drugs
GC-FID based aromatic profiling and molecular docking studies of lemon grass (Cymbopogon citratus) essential oil as novel therapeutic for SARS-Cov2 spike protein
No full textSARS-CoV-2 (COVID-19) caused more than 15 % mortality worldwide. Spike (S) protein has recently been regarded as a suitable target for drug design. The present in silico docking study was designed to evaluate the effect of potent bioactive molecule citral present in essential oils of lemon grass plant leaves against Spike (S) protein from SARS-CoV-2. Till date there is no work is undertaken on in-silico analysis of these compounds against Spike (S) protein of SARS-CoV-2. In the present study, GC-FID based aroma profile, molecular docking studies were conducted by using Patchdock analysis. Protein Interactions Calculator was used for protein interactions. In-silico absorption, distribution, metabolism, excretion and toxicity (ADMET) profile was also studied. GC-FID revealed citral as major compound in lemon grass oil. The calculated parameters such as docking score indicated effective binding of citral to COVID-19 S-protein. Interactions results indicated that, Spike (S) protein / citral complexes forms hydrophobic interactions. In-silico absorption, distribution, metabolism, excretion and toxicity (ADMET) studies provided guidelines and mechanistic scope for identification of potent anti-COVID 19 drug. Therefore, essential oil from lemon grass oil may represent potential herbal treatment to act as COVID-19 Spike (S) protein inhibitor
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