130,623 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
Falkland School, Grades 1 - 5
No full textLeft to right, back: Carl Taylor, Wilfred Struthers, Len Swift, L. Leaf, H. Bailey, E. Clark, G. Swift. Middle: K. Miller, J. Porrier, G. Tennor, K. Furgason, A. Furgason, C. Bailey, O. Leaf, I. Kent, Miss Mossey. Front: J. Alexander, D. Taylor, O. Swift, E. Smith, G. Bailey, J. Beddows, D. Alexander, G. Furgason, G. Beddows, B. Bailey, B. Matt
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.
Size distribution of airborne particles controls outcome of epidemiological studies
No full textEpidemiological studies typically using wide size range mass metrics (e.g. PM(10)) have demonstrated associations between airborne particulate matter and several adverse health outcomes. This approach ignores the fact that mass concentration may not correlate with regional lung dose, unlike the case of trace gases. When using measured particle size distributions as the basis for calculating regional lung dose, PM(10) mass concentration is found to be a good predictor of the mass dose in all regions of the lung, but is far less predictive of the surface area and particle number dose. On the other hand, measurements of particle number do not well predict mass dose, indicating that the chosen particle metric is likely to determine the health outcomes detectable by an epidemiological study. Consequently, epidemiological studies using mass metrics (PM(2.5) and PM(10)) may fail to recognise important health consequences of particulate matter exposure, leading to an underestimate of the public health consequences of particle exposure
Sources of sub-micrometre particles near a major international airport
No full textThe international airport of Heathrow is a major source of nitrogen oxides, but its contribution to the levels of sub-micrometre
particles is unknown and is the objective of this study. Two sampling campaigns were carried out during warm and cold seasons at
a site close to the airfield (1.2 km). Size spectra were largely dominated by ultrafine particles: nucleation particles ( < 30 nm) were found to be ∼ 10 times higher than those commonly measured in urban background environments of London. Five
clusters and six factors were identified by applying k means cluster analysis and positive matrix factorisation (PMF), respectively, to
particle number size distributions; their interpretation was based on their modal structures, wind directionality, diurnal patterns,
road and airport traffic volumes, and on the relationship with weather and other air pollutants. Airport emissions, fresh and aged
road traffic, urban accumulation mode, and two secondary sources were then identified and apportioned. The fingerprint of Heathrow has
a characteristic modal structure peaking at < 20 nm and accounts for 30–35 % of total particles in both the
seasons. Other main contributors are fresh (24–36 %) and aged (16–21 %) road traffic emissions and urban accumulation from
London (around 10 %). Secondary sources accounted for less than 6 % in number concentrations but for more than 50 % in
volume concentration. The analysis of a strong regional nucleation event showed that both the cluster categorisation and PMF
contributions were affected during the first 6 h of the event. In 2016, the UK government provisionally approved the construction of
a third runway; therefore the direct and indirect impact of Heathrow on local air quality is expected to increase unless mitigation
strategies are applied successfully
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
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
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