Tenurometer: Google Scholar e citazioni a portata di browser

Tenurometer è un nuovo servizio proposto dall’Università dell’Indiana per il calcolo delle citazioni e dell’H-Index atttraverso Google Scholar. Risulta innovativo che sia offerto come toolbar per Firefox e che poggi su una organizzazione disciplinare collaborativa, che si esplica attraverso il tagging dei contenuti/autori ricercati. Dalla mia esperienza posso dimostrare che, al di là di database citazionali a pagamento come Scopus o Web of Science, Scholar è sempre molto consultato dai docenti e ricercatori, e se Tenurometer riesce a superare i limiti di Publish or Perish, potrà forse aspirare al successo nella comunità accademica. Di seguito qualche info in più dal sito (bold mines):

… Tenurometer is a browser extension that provides a smart interface for Google Scholar, it does not have the limitations of server based citation analysis tools that sit between the user and Google Scholar. At the same time Tenurometer is not an application, such as Publish or Perish, and therefore it is platform independent and runs on every system that supports the Firefox browser. Still, Tenurometer uses Google Scholar, which provides the most comprehensive source of citation data across the sciences and social sciences.

exposes advanced query syntax in a simple way to empower non-experts to submit complex queries such as boolean combinations (and/or/not) of author names and keywords.

provides many advanced features that make it easier and less error prone to compute impact measures based on citations. For example, the user can merge multiple versions of the same paper; exclude papers by different authors with the same name, or other noisy data; filter papers by many criteria such as years, disciplines, name variations, and coauthors; and perform live search over the results.

is a social (crowdsourcing) application that leverages the wisdom of the crowds. It requires users to tag their queries with one or more discipline names, choosing from predefined ISI subject categories or arbitrary tags

Da notare che, oltre all’interessante H-Index universale, che rende comparabili autori di discipline diverse, Tenurometer offre anche indicatori di impatto come il g-index.

Tenurometer is a browser extension that provides a smart interface for Google Scholar, it does not have the limitations of server based citation analysis tools that sit between the user and Google Scholar. At the same time Tenurometer is not an application, such as Publish or Perish, and therefore it is platform independent and runs on every system that supports the Firefox browser. Still, Tenurometer uses Google Scholar, which provides the most comprehensive source of citation data across the sciences and social sciences. Back to top

Empowers non-experts to submit complex queries and maintains their history Tenurometer exposes advanced query syntax in a simple way to empower non-experts to submit complex queries such as boolean combinations (and/or/not) of author names and keywords. For example you can search for articles by Jane Smith or JM Smith-White but not JF Smith at Cornell or Stanford. Tenurometer also maintains a history of recent queries to help you remember those complex queries. Back to top

Allows filtering, sorting, deleting and live search to compute error free impact measures Tenurometer provides many advanced features that make it easier and less error prone to compute impact measures based on citations. For example, the user can merge multiple versions of the same paper; exclude papers by different authors with the same name, or other noisy data; filter papers by many criteria such as years, disciplines, name variations, and coauthors; and perform live search over the results. The impact measures are dynamically recalculated based on the user’s manipulations. Back to top

A social application with tagging functionality Tenurometer is a social (crowdsourcing) application that leverages the wisdom of the crowds. It requires users to tag their queries with one or more discipline names, choosing from predefined ISI subject categories or arbitrary tags. This generates annotations that go into a database, which collects statistics about the various disciplines, such as average number of citations per paper, average number of papers per authors, etc. This data will be made publicly available. Back to top

Tag: academics, citations, google scholar, h-index, science 2.0