1,721,014 research outputs found
Flow Cytometry Data files for article: Microenvironment Mapping via Dexter Energy Transfer on Immune Cells
No full textThis dataset contains the raw flow cytometry data present in the article: Flow Cytometry Data files for article: Microenvironment Mapping via Dexter Energy Transfer on Immune Cells. Please see the included PowerPoint for folder descriptions. Raw .fcs and compensation files are included
Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging
No full textThis is the raw fastq files, processed count table, peptide mapping files, raw flow cytometry files, and single cell sequence Seurat object for the manuscript entitled Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging.
The file "File_Manifest.csv" contains a description of each file and to what it pertains.
Raw sequencing files for the single cell sequencing may be found in the following GEO entry GSE206140 (link https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE206140)
Replication Data for: Distinct subsets of neutrophils crosstalk with cytokines and metabolites in patients with sepsis.
No full textThis is the starting data and code used to generate the data from the manuscript entitled "Distinct subsets of neutrophils crosstalk with cytokines and metabolites in patients with sepsis", PMID 36756375.
To replicate analyses, each folder has code which is run according to each analyses run order (see ReadMe files). The order to run each section in is as follows:
Sepsis_MakeData
sepsis_flow_cyto_analyses
Sepsis_MultiOmic
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
Proteomic raw data - Discovery datasets
No full textThis dataset supports the thesis entitled 'Protemic discovery and validation of diagnostic plasma biomarkers for pulmonary tuberculosis' by Baquero.
List of peptides and proteins identified in three proteomic discovery experiments generated as a multi consensus report and individual reports. Relative protein expression is included.</span
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
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