17,171,731 research outputs found
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Frequently Asked Questions Related to the Commission on Evidence-Based Policymaking's Report
List of frequently-asked questions regarding the final report of the U.S. Commission on Evidence-Based Policymaking with answers and clarifications. Questions are broken into five topics: general, National Secure Data Service (NSDS), privacy, access, and capacity
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
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Commission on Evidence-Based Policymaking
Website for the Commission on Evidence-Based Policymaking (CEP), which was established to create a strategy for increasing access to data about government programs while protecting confidentiality. It includes hearings, meeting minutes, and news as well as other information about the commission's members and related resources
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The Promise of Evidence-Based Policymaking: Report of the Commission on Evidence-Based Policymaking, Appendices E-H
Final report appendices E-H of the Commission on Evidence-Based Policymaking (CEP) containing the information gathered through the commission's survey of federal offices, public meeting materials and presentations, public input-hearing testimony and other public comments, and related evidence built by prior commissions
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The Promise of Evidence-Based Policymaking: Appendices E-H
Supplementary appendices that support the final report of the Commission on Evidence-Based Policymaking including ..
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The Promise of Evidence-Based Policymaking
Report of the Commission on Evidence-Based Policymaking providing a final report of their findings that..
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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The Promise of Evidence-Based Policymaking, Final Report and Appendices A-D
Final report of the Commission on Evidence-Based Policymaking (CEP) describing their activities and findings regarding evidence access, privacy protections, accountability, and building capacity. The report concludes with a discussion of the possibilities of more and better evidence. Included are appendices A-D which contain CEP's commission in 2016, commissioner biographies, where CEP pursued fact-finding and deliberation processes, and examples of data sources for productive evidence-building
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
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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