El profesional de la información, 2015, septiembre-octubre, v. 24, n. 5. eISSN: 1699-2407 587 Web indicators for research evaluation. Part 1: citations and links to academic articles from the Web indicadores web para evaluación de la investigación. Parte 1: citas y enlaces a artículos académicos desde la Web Mike Thelwall and Kayvan Kousha Mike Thelwall is the head of the Staisical Cybermetrics Research Group at the University of Wol- verhampton, UK. He has developed a wide range of sotware for gathering and analysing web data, including hyperlink analysis, seniment analysis and content analysis for Twiter, YouTube, MySpace, blogs and the web in general. htp://orcid.org/0000-0001-6065-205X m.thelwall@wlv.ac.uk Kayvan Kousha is a researcher in the Staisical Cybermetrics Research Group at the University of Wolverhampton, UK. His research includes web citaion analysis and online scholarly impact assessment using webometrics and altmetrics methods. He has tested diferent web citaion ex- tracion methods from various types of web documents such as Google Books, Google Patents, academic course syllabi and online book reviews for research evaluaion. htp://orcid.org/0000-0003-4827-971X k.kousha@wlv.ac.uk Staisical Cybermetrics Research Group, School of Mathemaics and Computer Science, University of Wolverhampton Wulfruna Street, Wolverhampton WV1 1LY, United Kingdom Abstract The extensive use of the web by many sectors of society has created the potenial for new wider impact indicators. This ari- cle reviews research about Google Scholar and Google Patents, both of which can be used as sources of impact indicators for academic aricles. It also briely reviews methods to extract types of links and citaions from the web as a whole, although the indicators that these generate are now probably too broad and too dominated by automaically generated websites, such as library and publisher catalogues, to be useful in pracice. More valuable web-based indicators can be derived from speciic types of web pages that cite academic research, such as online presentaions, course syllabi, and science blogs. The- se provide evidence that is easier to understand and use and less likely to be afected by unwanted types of automaically generated content, although they are suscepible to gaming. Keywords Webometrics; Altmetrics; Alternaive metrics; Alternaive indicators; Citaion analysis; Web indicators; Scientometrics; Goo- gle Scholar. Resumen El gran uso de la web por parte de muchos sectores de la sociedad ha creado el potencial para nuevos indicadores de im- pacto más amplios. Este arículo revisa la invesigación sobre Google Scholar y Google Patents, servicios que pueden ser uilizados como fuente de indicadores de impacto de arículos académicos. También se examinan brevemente los métodos para extraer ipos de enlaces y citas de la Web en su conjunto, aunque para que sean úiles en la prácica los indicadores que éstos generan ahora son probablemente demasiado amplios y demasiado dominados por siios web generados auto- máicamente, como catálogos de biblioteca y de editoriales. Indicadores basados en la web más valiosos se pueden derivar Manuscript received on 24-07-2015 Accepted on 09-09-201 5