1,721,017 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
The conformational response to Zn(II) and Ni(II) binding of Sporosarcina pasteurii UreG, an intrinsically disordered GTPase
Urease is an essential Ni(II) enzyme involved in the nitrogen metabolism of bacteria, plants and fungi. Ni(II) delivery into the enzyme active site requires the presence of four accessory proteins, named UreD, UreF, UreG and UreE, acting through a complex protein network regulated by metal binding and GTP hydrolysis. The GTPase activity is catalyzed by UreG, which couples this function to a non-enzymatic role as a molecular chaperone. This moonlighting activity is reflected in a flexible fold that makes UreG the first discovered intrinsically disordered enzyme. UreG binds Ni(II) and Zn(II),which in turn modulate the interactions with other urease chaperones. The aim of this study is to understand the structural implications of metal binding to Sporosarcina pasteurii UreG (SpUreG). A combination of light scattering, calorimetry, mass spectrometry, and NMR spectroscopy revealed that SpUreG exists in monomer-dimer equilibrium (K(d)= 45 μM), sampling three distinct folding populations with different degrees of compactness. Binding of Zn(II) ions, occurring in two distinct sites (K(d1) = 3 nM, K(d2) = 0.53 μM), shifts the protein conformational landscape toward the more compact population, while maintaining the overall protein structural plasticity. Differently, binding of Ni(II) ions occurs in three binding sites (K(d1(= 14 μM; K(d2) = 270 μM; K(d3)= 160 μM), with much weaker influence on the protein conformational equilibrium. These distinct conformational responses of SpUreG to Ni(II) and Zn(II) binding suggest that selective metal binding modulates protein plasticity, possibly having an impact on the protein-protein interactions and the enzymatic activity of UreG
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
Compact conformations of α-synuclein induced by alcohols and copper
The intrinsically disordered protein α-synuclein aggregates into amyloid fibrils, a process known to be implicated in several neurodegenerative states. Partially folded forms of the protein are thought to trigger the aggregation process. Here, α-synuclein conformers are characterized by analysis of the charge-state distributions observed in electrospray-ionization mass spectrometry under negative-ion mode. It is found that, even at neutral pH, a small fraction of the molecular population is in a compact conformation. Several distinct partially folded forms are then identified under conditions that promote α-synuclein aggregation, such as solutions of simple and fluorinated alcohols. Specific intermediates accumulate at increasing concentrations of ethanol, hexafluoro-2-propanol, and trifluoroethanol. Finally, extensive folding induced by Cu(2+) binding is revealed by titrations in the presence of Cu(2+)-glycine. The data confirm the existence of a single, high-affinity binding site for Cu(2+). Because accumulation of this partially folded form correlates with enhancement of fibrillation kinetics, it is likely to represent an amyloidogenic intermediate in α-synuclein conformational transition
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
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