186,396 research outputs found
VELO-CARDIO-FACIAL SYNDROME AND CATCH22 - 5 DISTINCT TRANSCRIPTS EXPRESSED IN HEART IDENTIFIED, MAPPED AND ORDERED IN THE CRITICAL REGION
No full textGlobal warming potential of a Mediterranean irrigated forage system: Implications for designing the fertilization strategy
No full textUnder Mediterranean conditions, the impacts of both organic and mineral N fertilization on soil Greenhouse Gases (GHG) emission can be controversial. The aim of this study was to assess the soil GHG emissions and the net Global Warming Potential (GWP) in a Mediterranean irrigated forage system under different fertilization treatments. Three N fertilization options were compared for two years in a double-crop rotation of silage maize and Italian ryegrass for hay: cattle slurry (SL), solid fraction of slurry (SO) and mineral fertilizer with a nitrification inhibitor (MI). The soil CO2, N2O and CH4 fluxes were highly influenced by the interaction between treatment and date. The maximum values of GHG emissions were observed after fertilizations, to a different extent depending on the fertilizer. In the net GWP reference year, soil respiration (SR) was higher in SO (46.26 ± 3.26 Mg ha−1 yr−1 of CO2) than SL (30.03 ± 0.40 Mg ha−1 yr−1) and MI (23.71 ± 0.57 Mg ha−1 yr−1). However, the C sequestration was higher in SO than in the other treatments. The N2O fluxes were higher in SL (11.5 ± 5.2 kg ha−1 yr−1 of N2O) than in SO (3.4 ± 1.8 kg ha−1 yr−1), while the MI had intermediate values (6.5 ± 1.4 kg ha−1 yr−1). No differences were observed in cumulative CH4 emissions. The SO resulted as a net GWP sink (-9.86 ± 3.05 Mg yr−1 of CO2eq based on SR), while the SL and MI (9.79 ± 1.41 and 1.34 ± 1.87 Mg yr−1, respectively, based on SR) resulted as a source. The SO seemed to have a higher potential in terms of reducing GHG emissions by maintaining adequate levels of agronomic efficiency. This study put in evidence how different organic fertilizers can have contrasting impacts on GHG emissions providing some insights on their different potential mitigation roles under Mediterranean conditions
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
A transcription map in the CATCH-22 critical region: identification, mapping and ordering of 4 novel transcripts expressed in heart
No full textDispelling 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
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