130,719 research outputs found
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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
Agriculture in Transformation: The Restructuring of Farm Enter in Central and Eastern European Countries during the Transition Process
No full textTen years of transition processes in the former communist countries of Central and Eastern Europe (CEEC) have changed the ownership structure as well as the structures and legal forms of enterprises in agriculture considerably. The farm structures in Eastern Europe developed under the influence of various collectivisation models. These influenced the course of the transformation process and therefore the development of new entrepreneurial and farm structures to a great extent. In addition also the effects of other political, social and economic factors with different weights can be noticed in the individual countries. Considering labour organisation and relation to markets, four different types of farm enterprises have evolved in the Central European and East European states during the transformation process: (a) Family farms for a mere self-sufficiency (Subsistence farms) (b) Family farms with a predominant orientation towards the market (c) Market-oriented joined family farms (d) Market-oriented farms with hired labour In the future farms and agricultural enterprises of all different types can have good prospects and therefore also the different sizes connected with them. For this reason the same should be valid for all types of farms and in the long term competition should decide, which types are going to compete. The preference or discrimination of a certain type by the agrarian policy needs to be avoided. The state also needs to develop the infrastructure in rural areas, to improve the prospects of farms that are deprived in this respect.Farm Management,
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
FIGURE 13 in A taxonomic revision of Boiga multomaculata (Boie, 1827) and B. ochracea (Theobald, 1868), with the description of a new subspecies (Squamata, Serpentes, Colubridae)
No full textFIGURE 13. Boiga multomaculata ochracea in life. A. SMF 104138; B. SMF 103792; C. SMF 103826; D. WIIADR 1156. Photos by GK (A–C), AD (D).Published as part of Köhler, Gunther, Charunrochana, Panupong Thammachoti, Mogk, Linda, Than, Ni Lar, Kurniawan, Nia, Kadafi, Ahmad Muammar, Das, Abhijit, Tillack, Frank & O'Shea, Mark, 2023, A taxonomic revision of Boiga multomaculata (Boie, 1827) and B. ochracea (Theobald, 1868), with the description of a new subspecies (Squamata, Serpentes, Colubridae), pp. 151-193 in Zootaxa 5270 (2) on page 176, DOI: 10.11646/zootaxa.5270.2.1, http://zenodo.org/record/789695
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