Academic search engines : a quantitative outlook by Jose Luis Ortega

By Jose Luis Ortega

Academic se's: intends to run throughout the present landscape of the tutorial se's via a quantitative strategy that analyses the reliability and consistence of those companies. the target is to explain the most features of those engines, to focus on their merits and disadvantages, and to debate the consequences of those new items sooner or later of medical verbal exchange and their influence at the study dimension and evaluate. in brief, educational se's provides a precis view of the recent demanding situations that the net set to the clinical job in the course of the so much novel and cutting edge looking out prone on hand on the net.

  • This is the 1st method of research se's completely addressed to the study neighborhood in an integrative guide. the newness, expectation and value of a lot of those providers justify their analysis.
  • This publication isn't really basically an outline of the net functionalities of those prone; it's a medical overview of the main awesome features of every platform, discussing their importance to the scholarly communique and examine evaluation.
  • This ebook introduces an unique method according to a quantitative research of the coated facts in the course of the large use of crawlers and harvesters which permit getting into intensity into how those engines are operating. Beside of this, a close descriptive evaluate in their functionalities and a severe dialogue approximately their use for clinical neighborhood is displayed.

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In the first stage, AMiner proceeds to the data extraction of two differentiated entities: authors and documents. Unlike other search engines, AMiner does not directly extract authors from documents, but instead crawls the web looking for personal homepages, identifying and collecting names. Tang et al. (2008), in their seminal paper on AMiner’s methodology, claim that the author’s name is used to identify the homepage of each researcher. They use Google API to automatically query to the search engine and then identify the homepage from the results.

These patents correspond to the patent offices of the United States (USPTO), Europe (EPO), Japan (JPO), the World Intellectual Property Organization (WIPO) and the United Kingdom (UKIPO). 47 per cent) were the largest repositories in this section. 8 per cent of ‘Preferred web sources’. 5 per cent), housing academic materials related to a particular discipline. 2 per cent). 2). In spite of the above, Scirus was one of the search engines with less coverage of open access repositories (Bhat, 2010).

Each author result also provides access to more detailed information on the person, with a list of his/her publications and the h-index as a bibliometric indicator. But perhaps one of the most valuable characteristics is that the data can be edited and modified – merging similar names in the same profile, removing or adding 19 Academic Search Engines publications to the list, and correcting names and affiliations. This makes the author search more consistent and reliable. So, CiteSeerx enables the user to search in a novel table index which contains a list of tables extracted from the parsed documents.

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