1,721,246 research outputs found
Data for "Microfluidic long DNA sample preparation from cells" published as Lab Chip, 2019, 19, 281
No full textFig5_Annotate.tif is the tiff file of Fig. 5 that has all the molecules numbered for analysis shown in MWD.csv. MWD.csv has the molecular weight distribution of the 121 DNA molecules in Fig. 5 of the manuscript, that is represented as a histogram in Fig. 6. QubitData.xlsx shows the DNA and protein concentration data of our device samples that is presented in the manuscript. This file was exported from the Qubit Fluorometer 2.0.This is the data for the article published as "Microfluidic long DNA sample preparation from cells" in Lab on a chip. The data includes DNA molecular weight distribution analysis and DNA concentration measurements from fluorometry data.NIH (R21-HG009208)NNCI under Award Number ECCS-1542202Agrawal, Paridhi; Dorfman, Kevin. (2019). Data for "Microfluidic long DNA sample preparation from cells" published as Lab Chip, 2019, 19, 281. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/tj2p-2r90
Data for "3D Printing-Enabled DNA Extraction for Long-Read Genomics" published as ACS Omega 2020, 5, 20817-20824
No full textSizing data is measured in genome mapping nanochannels designed by Bionano Genomics. Concentration data is measured using spectrophotometry to ultimately output DNA amount in a sample.The deposited data files have DNA size measurement critical to demonstrating long DNA extraction in the microfluidic device, and DNA concentration measurement to show the yield of the platform.NIH (R21- HG009208)Agrawal, Paridhi; Reifenberger, Jeffrey G; Dorfman, Kevin D. (2020). Data for "3D Printing-Enabled DNA Extraction for Long-Read Genomics" published as ACS Omega 2020, 5, 20817-20824. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/brk2-4t69
sj-pdf-1-trd-10.1177_26330040221139872 – Supplemental material for Clinical evidence of interventions assessed in Friedreich ataxia: a systematic review
No full textSupplemental material, sj-pdf-1-trd-10.1177_26330040221139872 for Clinical evidence of interventions assessed in Friedreich ataxia: a systematic review by Paridhi Jain, Lohit Badgujar, Jelle Spoorendonk and Katharina Buesch in Therapeutic Advances in Rare Disease</p
Data from: Molecular combing data
No full textMC1 - MC11 are stitched jpeg images that span several fields of view across different combing microchannels. While MC1 - MC10 are DNA extracted from blind experiments, MC11 has combed DNA from an extraction experiment with visualization. Individual images were captured with a 100x oil immersion objective, giving a pixel conversion ratio of 15.86 px/um. The combing calibration factor is 3.13 kbp/um. The files are named as `MCX\_aaaaa.jpg', where `X' goes from 1 to 11 and `aaaaa' is the number of horizontal pixels spanned by each stitched image.Agrawal, Paridhi; Dorfman, Kevin D. (2018). Data from: Molecular combing data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/200704
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
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