Academic Search Engines: A Quantitative Outlook (Chandos by Jose Luis Ortega

By Jose Luis Ortega

Academic se's: intends to run throughout the present landscape of the educational se's via a quantitative technique that analyses the reliability and consistence of those prone. the target is to explain the most features of those engines, to focus on their benefits and disadvantages, and to debate the consequences of those new items sooner or later of clinical conversation and their impression at the examine size and assessment. in brief, educational se's provides a precis view of the hot demanding situations that the net set to the medical job throughout the such a lot novel and cutting edge looking out prone to be had on the net.

  • This is the 1st method of examine se's solely addressed to the learn neighborhood in an integrative instruction manual. the newness, expectation and usability of a lot of those prone justify their analysis.
  • This booklet isn't simply an outline of the internet functionalities of those companies; it's a clinical evaluation of the main extraordinary features of every platform, discussing their importance to the scholarly conversation and study evaluation.
  • This booklet introduces an unique technique in keeping with a quantitative research of the lined info during the wide use of crawlers and harvesters which permit getting into intensity into how those engines are operating. Beside of this, an in depth descriptive evaluation in their functionalities and a severe dialogue approximately their use for medical group is displayed.

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Extra resources for Academic Search Engines: A Quantitative Outlook (Chandos Information Professional Series)

Sample text

However, when a query selecting all the disciplines was launched, Scirus retrieved 556 million documents. This means that only one-third of the documents were classified, which reinforces the assumption that there was an important number of documents that were not classified either because there were no categories for them, or simply because the classification system did not manage to assign a class. This was made worse when the system assigned more than one category to a unique document, causing a significant overlap between neighbouring disciplines.

Each author’s page shows its co-authors and a list of suggested collaborators which can be ranked according to the three similarity measures. This project is based on the general assumption in social network analysis that two people who are connected with the same partners increase their likelihood of establishing a tie between them (structural holes) (Burt, 1992). However, and as with RefSeer, this tool is of limited use because the search for possible collaborators is a complex task that depends on the projects that a researcher wishes to develop, their personal contacts and the viability of this collaboration in terms of geographical distance, economic resources, etc.

Content sources: Scirus made it possible to select specific sources such as ‘Journals sources’ and ‘Preferred web sources’. This issue is discussed in detail above (see p. 30). ƒ Subject areas: Scirus limited the search based on different research disciplines. This part is also discussed on p. 35. ’ to replace a single character or ‘*’ to replace more than one. Perhaps the most interesting feature was the search for specific fields, which allowed the user to search a term by the place in which it appeared in the document.

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