117,332 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
A fast virtual screening approach to identify structurally diverse inhibitors of trypanothione reductase
No full textTrypanothione reductase (TryR) is one of the favorite targets for those designing drugs for the treatment of Chagas disease. We present the application of a fast virtual screening approach for designing hit compounds active against TryR. Our protocol combines information derived from structurally known inhibitors and from the TryR receptor structure. Five structurally diverse hit compounds active against TryR and holding promise for the treatment of Chagas disease are reported
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Letter from unknown writer to Jesse L. Boyce
No full textLetter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Toward the design of new DNA G-quadruplex ligands through rational analysis of polymorphism and binding data
No full textHuman telomeres play a key role in protecting chromosomal ends from fusion events; they are composed of d(TTAGGG) repeats, ranging in size from 3 to 15 kb. They form G-quadruplex DNA structures, stabilized by G-quartets in the presence of cations, and are involved in several biological processes. In particular, a telomere maintenance mechanism is provided by a specialized enzyme called telomerase, a reverse transcriptase able to add multiple copies of the 5′-GGTTAG-3′ motif to the end of the G-strand of the telomere and which is over-expressed in the majority of cancer cells. The central cation has a crucial role in maintaining the stability of the structure. Based on its nature, it can be associated with different topological telomeric quadruplexes, which depend also on the orientation of the DNA strands and the syn/anti conformation of the guanines. Such a polymorphism, confirmed by the different structures deposited in the Protein Data Bank (PDB), prompted us to apply a computational protocol in order to investigate the conformational properties of a set of known G-quadruplex ligands and their molecular recognition against six different experimental models of the human telomeric sequence d[AG 3(T2AG3)3]. The average AutoDock correlation between theoretical and experimental data yielded an r2 value equal to 0.882 among all the studied models. Such a result was always improved with respect to those of the single folds, with the exception of the parallel structure (r2 equal to 0.886), thus suggesting a key role of this G4 conformation in the stacking interaction network. Among the studied binders, a trisubstituted acridine and a dibenzophenanthroline derivative were well recognized by the parallel and the mixed G-quadruplex structures, allowing the identification of specific key contacts with DNA and the further design of more potent or target specific G-quadruplex ligands
The discovery of new G-quadruplex binders through a structure-based virtual screening approach
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