1,055,898 research outputs found
Letter from P. Long to Hagan
No full textHolograph letter from P. Long, St. Ambrose, Leigh Woods, Bristol (England), to (Hagan), enclosing cutting from a local paper of 28 September (not extant), on the great pleasure concerning Monsignor Lee
Long-term care in developing countries : ten case studies / editors: J. Brodsky, J. Habib and M. Hirschfeld
No full textPrepared in collaboration with the World Health Organization and the JDC-Brookdale Institute, the WHO Collaborating Centre for Health and Long-Term Care Policy and Research461 p
Paddy's songster. No. 1, Southern cross.
No full textCover title.; "Great London sensation: How Poor Pat Got Done in by O'Flynn, with Music, Latest and Best ever sung by Pat Rafferty. The Lads In Navy Blue (Sung by Miss Florrie Rangee). Full music and words at Paling's, George-street, Sydney."; Library's copy shows evidence of having been previously folded horizontally; a tear on the outer edges of the pages of the booklet appears along this fold. Inscribed by former owner: A. E. Iversen. ANL; Also available online http://nla.gov.au/nla.mus-vn6022847. Contains melody line with lyrics: How poor Pat gone done in by O'Flynn / written by Paul Long.Lyrics of popular songs: When I go out in the garden -- Chewing biscuits in the bed -- There's only one Queen Victoria -- My country, 'tis of thee -- How's that for a snapshot -- Bobbing up and down like this -- Pale moonlight (encore verses) -- Last verse of Murphy shall not sing tonight -- Football referee -- Boys that do the fighting -- She changed her mind -- Quick change -- Best little woman in the world -- I'm looking at yer -- Song that will live for ever -- Pop pop poppity pop! -- Sheeny coon -- Lads in navy blue -- How poor Pat got done in by O'Flynn -- Soldiers of the Queen.Southern cros
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
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
The construction of Karen Karnak: The multi-author-function
No full textThis thesis is situated within the comparatively recent developments of Web 2.0 and the emergence of interactive WikiMedia, and explores the mode of authorship within a Read/Write culture compared to that of a Read/Only tradition. The hypothesis of this study is that the role of the audience has become merged with the author, and as such, represents new functions and attributes, distinct from a more conventional concept of authorship, in which the roles of audience and author are more separate. Read/Write and participatory culture, as defined by this study, is focused on collaboration, and includes the influences of D.I.Y. culture, Open-Source practices and the production of text by multiple authors. Multi-authorship presents a re-thinking of several concepts which support the notion of the individual author, since the focus of multi-authorship is not on attribution and ownership of a finished text, but on the continued malleability of a text. Modes of multi-authorship, demonstrated in the use of the pseudonyms Alan Smithee and Karen Eliot, represent declarative authors whose names signify multiple origins, whilst concurrently indicating a distinct body of work. The function of these names form an important context to this study, since primary research involves the construction of an experimental mode of multi-authorship utilising WikiMedia technology and the interaction of thirty nine participants, who are invited to create a body of work under the collective pseudonym Karen Karnak. The data generated by this experiment is analysed using aspects of Michel Foucault's author-function to identify and determine power structures inherent in the WikiMedia context. The interplay of power structures, including concepts such as identity, ownership and the body of work, affect the resulting mode of authorship and contribute to the construction of Karen Karnak, suggesting further areas of research into the emerging multi-author
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
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