Search (6 results, page 1 of 1)

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Abstract

A simpler model is proposed for estimating the frequency of any same-frequency words and identifying the boundary point between high-frequency words and low-frequency words in a text. The model, based on a 'maximum-ranking method', assigns ranks to the words and estimates word frequency by a formula. The boundary value between high-frequency and low-frequency words is obtained by taking the square root of the number of different words in the text. This straightforward model was used successfully with both English and Chinese texts

Type

a

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Abstract

We chronicle the use of acknowledgments in 20th-century scholarship by analyzing and classifying more than 4,500 specimens covering a 100-year period. Our results show that the intensity of acknowledgment varies by discipline, reflecting differences in prevailing sociocognitive structures and work practices. We demonstrate that the acknowledgment has gradually established itself as a constitutive element of academic writing, one that provides a revealing insight into the nature and extent of subauthorship collaboration. Complementary data an rates of coauthorship are also presented to highlight the growing importance of collaboration and the increasing division of labor in contemporary research and scholarship.

Type

a

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Abstract

We chronicle the use of acknowledgments in 20th century chemistry by analyzing and classifying over 2,000 specimens covering a 100-year period. Our results show that acknowledgment has gradually established itself as a constitutive element of academic writing- one that provides a revealing insight into the structural nature of subauthorship collaboration in science. Complementary data an rates of coauthorship are also presented to highlight the growing importance of teamwork and the increasing division of labor in contemporary chemistry. The results of this study are compared with the findings of a parallel study of collaboration in both the social sciences and the humanities.

Type

a

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Abstract

Journals in the Information Science & Library Science category of Journal Citation Reports (JCR) were compared using both bibliometric and bibliographic features. Data collected covered journal impact factor (JIF), number of issues per year, number of authors per article, longevity, editorial board membership, frequency of publication, number of databases indexing the journal, number of aggregators providing full-text access, country of publication, JCR categories, Dewey decimal classification, and journal statement of scope. Three features significantly correlated with JIF: number of editorial board members and number of JCR categories in which a journal is listed correlated positively; journal longevity correlated negatively with JIF. Coword analysis of journal descriptions provided a proximity clustering of journals, which differed considerably from the clusters based on editorial board membership. Finally, a multiple linear regression model was built to predict the JIF based on all the collected bibliographic features.

Type

a

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Abstract

The accrual of symbolic capital is an important aspect of academic life. Successful capital formation is commonly signified by the trappings of scholarly distinction or acknowledged status as a public intellectual. We consider and compare three potential indices of symbolic capital: citation counts, Web hits, and media mentions. Our Eindings, which are domain specific, suggest that public intellectuals are notable by their absence within the information studies community.

Type

a

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Abstract

The number and type of Web citations to journal articles in four areas of science are examined: biology, genetics, medicine, and multidisciplinary sciences. For a sample of 5,972 articles published in 114 journals, the median Web citation counts per journal article range from 6.2 in medicine to 10.4 in genetics. About 30% of Web citations in each area indicate intellectual impact (citations from articles or class readings, in contrast to citations from bibliographic services or the author's or journal's home page). Journals receiving more Web citations also have higher percentages of citations indicating intellectual impact. There is significant correlation between the number of citations reported in the databases from the Institute for Scientific Information (ISI, now Thomson Scientific) and the number of citations retrieved using the Google search engine (Web citations). The correlation is much weaker for journals published outside the United Kingdom or United States and for multidisciplinary journals. Web citation numbers are higher than ISI citation counts, suggesting that Web searches might be conducted for an earlier or a more fine-grained assessment of an article's impact. The Web-evident impact of non-UK/USA publications might provide a balance to the geographic or cultural biases observed in ISI's data, although the stability of Web citation counts is debatable.

Type

a