By Jose Luis Ortega
Academic se's: intends to run during the present landscape of the tutorial se's via a quantitative method that analyses the reliability and consistence of those providers. the target is to explain the most features of those engines, to spotlight their benefits and disadvantages, and to debate the consequences of those new items sooner or later of medical conversation and their influence at the examine dimension and evaluate. briefly, educational se's offers a precis view of the recent demanding situations that the internet set to the medical job during the such a lot novel and cutting edge looking companies to be had on the internet.
- This is the 1st method of study se's completely addressed to the study neighborhood in an integrative instruction manual. the newness, expectation and value of lots of those prone justify their analysis.
- This publication isn't in simple terms an outline of the internet functionalities of those prone; it's a clinical evaluate of the main extraordinary features of every platform, discussing their importance to the scholarly conversation and study evaluation.
- This ebook introduces an unique method in line with a quantitative research of the coated info during the broad use of crawlers and harvesters which permit moving into intensity into how those engines are operating. Beside of this, a close descriptive overview in their functionalities and a severe dialogue approximately their use for clinical group is displayed.
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Extra info for Academic search engines : a quantitative outlook
These images show the longitudinal evolution of a discipline, with new branches emerging all the time. However, the images are not inserted into any section and no explanation exists about their meaning. 1 Homepage of AMiner (21 February 2014) functionality or if they are simply graphical representations of research disciplines. However, to return to the organizing structure of AMiner, seven sections are labelled in the top menu: ‘Home’: this page shows a registration box where a user can sign in.
2 per cent). The results page shows the acknowledgements that correspond to the queried entity. These are sorted by citations and present the document title, the acknowledgement text and the entities that were indexed from each document. It is interesting to view the timeline option because this shows a longitudinal graph where the user can see the number of times that a person or organization is mentioned in acknowledgements each year. However – and as is the case with the CiteSeerx main project – there is no standardization nor cleaning process, meaning that entities are presented in different forms, which leads to long and complex queries to retrieve the acknowledgements to one specific organization.
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). In terms of the thematic coverage, ‘Scirus help’ (Scirus, 2013b) claimed that the web pages and digital documents were classified through a linguistic analysis of 20 scientific subject areas. The classification process was based on each web document’s map of words against a dictionary or thesaurus built from a manually pre-classified corpus of scientific pages and key words extracted from specialized scientific databases.
Academic search engines : a quantitative outlook by Jose Luis Ortega