106,070 research outputs found
Sixty-five data sets of profit, labour input, fertilizer and pesticide use in seventeen vegetable crops of the Arusha region, Tanzania
This report contains the 65 individual crop data sets to the related report A.P. Everaarts, H. de Putter and A.P. Maerere, 2015. Profitability, labour input, fertilizer application and crop protection in vegetable production in the Arusha region, Tanzania.PPO Report 653
Ryhiner-Kartensammlung / 26 Province de Pe-tche-li
[Titelkartusche:] C. de Putter sculp.Titel- und Massstabskartusche unten rechtsNumerierung oben links: "Tom I page"Ursprungswerk: "Nouvel atlas de la Chine, de la Tartarie chinoise, et du Thibet" von J.-B. B. d'Anville (Den Haag, 1737
Histoire universelle : depuis le commencement du monde jusqu'a present
Sign.: *\p3\s, A-Z\p4\s, 2A-2Z\p4\s, 3A-3Z\p4\s, 4A-4O\p4\s, 4P\p2\s, 4QPort. a dos tintas con grab. calc. : "C. de Putter fecit, 1742"4 h. de grab. calc. map. pleg. y 15 h. de grab. cal
Histoire universelle depuis le commencement du monde ... traduite de l´anglois d´une société de gens de lettres; tome quatrieme, contenant l´histoire de Persa ... des Scyther ...; et l´histoire fabulense & héroique des Royaumes de Sicyone...& de quelques autres Royaumes moins confidérable; avec l´histoire d´Athens & celle des lacedomoniens du monde jusqu´a present.
Sing.: *4, A-4R4, 4S2Port. a dos tintas con grab. calc.: "C. de Putter fecit 1742"Apostillas marginalesEn cab. de *2, esc. calcLas h. de grab. calc. son mapas relativos al textosLas h. de map. grab. calc. pleg. entre p. 102-103, 172-173 y 258-25
Histoire universelle : depuis le commencement du monde jusqu'á present
Sign.: *\p2\s, A-Z\p4\s, 2A-2P\p4\s, 2Q\p3\s, 2R-2V\p4\s, 2X\p3\s, 2Y-2Z\p4\s, 3A-3Z\p4\s, 4A-4Q\p4\s, 4R\p2\sError de pag., se repite p. 79-80Port. a dos tintas con grab. calc. : "C. de Putter sculps 1746"Las h. de grab. calc. entre p. 594-595 y p. 596-597La h. pleg. grab. calc. entre p. 652-65
Histoire universelle : depuis le commencement du monde jusqu'a present
Sign.: *\p4\s, A-Z\p4\s, 2A-2Z\p4\s, 3A-3Q\p4\s, 3R\p3\s, 3S-3Z\p4\s, 4A-4N\p4\sPort. a dos tintas con grab. calc. : "C. de Putter fecit 1742"En cabecera de *\b2\s grab. calcTexto con apostillas marginalesLas h. de grab. calc. entre p. 24-25 y entre p. 36-37Las h. pleg. de map. grab. cal
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
Special Issue about Competing Risks and Multi-State Models
There is a clear growing interest, at least in the statistical literature, in competing risks and multi-state models. With the rising interest in competing risks and multi-state models a number of software packages have been developed for the analysis of such models. The present special issue of the Journal of Statistical Software introduces a selection of R packages devoted to competing risks and multi-state models. This introduction to the special issue contains some background and highlights the contents of the contributions.
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
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