Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)
1Orduna-Malea, E. ; Thelwall, M. ; Kousha, K.: Web citations in patents : evidence of technological impact?.
In: Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1967-1974.
Abstract: Patents sometimes cite webpages either as general background to the problem being addressed or to identify prior publications that limit the scope of the patent granted. Counts of the number of patents citing an organization's website may therefore provide an indicator of its technological capacity or relevance. This article introduces methods to extract URL citations from patents and evaluates the usefulness of counts of patent web citations as a technology indicator. An analysis of patents citing 200 US universities or 177 UK universities found computer science and engineering departments to be frequently cited, as well as research-related webpages, such as Wikipedia, YouTube, or the Internet Archive. Overall, however, patent URL citations seem to be frequent enough to be useful for ranking major US and the top few UK universities if popular hosted subdomains are filtered out, but the hit count estimates on the first search engine results page should not be relied upon for accuracy.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23821/full.
2Orduña-Malea, E. ; Torres-Salinas, D. ; López-Cózar, E.D.: Hyperlinks embedded in twitter as a proxy for total external in-links to international university websites.
In: Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1447-1462.
Abstract: Twitter as a potential alternative source of external links for use in webometric analysis is analyzed because of its capacity to embed hyperlinks in different tweets. Given the limitations on searching Twitter's public application programming interface (API), we used the Topsy search engine as a source for compiling tweets. To this end, we took a global sample of 200 universities and compiled all the tweets with hyperlinks to any of these institutions. Further link data was obtained from alternative sources (MajesticSEO and OpenSiteExplorer) in order to compare the results. Thereafter, various statistical tests were performed to determine the correlation between the indicators and the possibility of predicting external links from the collected tweets. The results indicate a high volume of tweets, although they are skewed by the performance of specific universities and countries. The data provided by Topsy correlated significantly with all link indicators, particularly with OpenSiteExplorer (r?=?0.769). Finally, prediction models do not provide optimum results because of high error rates. We conclude that the use of Twitter (via Topsy) as a source of hyperlinks to universities produces promising results due to its high correlation with link indicators, though limited by policies and culture regarding use and presence in social networks.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23291/abstract.
3Martín-Martín, A. ; Ayllón, J.M. ; López-Cózar, E.D. ; Orduna-Malea, E.: Nature's top 100 Re-revisited.
In: Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2714.
(Letters to the editor)
Inhalt: Bezug: Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2166. Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23570/abstract.
4Orduña-Malea, E.: Aggregation of the web performance of internal university units as a method of quantitative analysis of a university system : the case of Spain.
In: Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2100-2114.
Abstract: The aggregation of web performance data (page count and visibility) of internal university units could constitute a more precise indicator than the overall web performance of the universities and, therefore, be of use in the design of university web rankings. In order to test this hypothesis, a longitudinal analysis of the internal units of the Spanish university system was conducted over the course of 2010. For the 13,800 URLs identified, page count and visibility were calculated using the Yahoo! API. The internal values obtained were aggregated by university and compared with the values obtained from the analysis of the universities' general URLs. The results indicate that, although the correlations between general and internal values are high, internal performance is low in comparison to general performance, and that they give rise to different performance rankings. The conclusion is that the aggregation of unit performance is of limited use due to the low levels of internal development of the websites, and so its use is not recommended for the design of rankings. Despite this, the internal analysis enabled the detection of, among other things, a low correlation between page count and visibility due to the widespread use of subdirectories and problems accessing certain content.