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				<updated>2019-04-08T11:24:43Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_783062051&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 783062051&quot;&gt;Draft Content 783062051&lt;/a&gt; to &lt;a href=&quot;/public/Torres-Salinas_et_al_2018a&quot; title=&quot;Torres-Salinas et al 2018a&quot;&gt;Torres-Salinas et al 2018a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 11:24, 8 April 2019&lt;/td&gt;
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		<title>Scipediacontent: Created page with &quot; == Resumen ==  Este estudio se centra en las publicaciones de las universidades españolas en la Web of Science (WoS) durante 2014-2016 (125.824 artículos) y calcula 17 indi...&quot;</title>
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				<updated>2019-04-08T11:24:40Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Resumen ==  Este estudio se centra en las publicaciones de las universidades españolas en la Web of Science (WoS) durante 2014-2016 (125.824 artículos) y calcula 17 indi...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Resumen ==&lt;br /&gt;
&lt;br /&gt;
Este estudio se centra en las publicaciones de las universidades españolas en la Web of Science (WoS) durante 2014-2016 (125.824 artículos) y calcula 17 indicadores con Altmetric.com. Se han establecido tres objetivos: 1) ofrecer una perspectiva general de las altmétricas en las universidades españolas, 2) determinar la cobertura de Altmetric.com en el caso español y 3) establecer cuáles son las altmétricas más relevantes. Los resultados evidencian que el 42% de los artículos en la WoS están indexados en Altmetric.com. Los indicadores generados por Twitter, prensa digital, Facebook y Wikipedia explican el 82% de la varianza. Como conclusiones se señalan que: a) publicar en revistas de alto impacto y en áreas como Medicina y Biología contribuye a que las universidades obtengan mejores altmétricas; y b) un reducido número de indicadores es suficiente para determinar el impacto altmétrico.  &lt;br /&gt;
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[https://recyt.fecyt.es/index.php/EPI/article/view/epi.2018.may.03/40049 &amp;lt;span style=&amp;quot;color:#0645AD; font-weight: bold&amp;quot;&amp;gt;Pulsa aquí para acceder a la version PDF&amp;lt;/span&amp;gt;]&lt;br /&gt;
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== Referencias ==&lt;br /&gt;
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Bornmann, Lutz (2014). “Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics”. Journal of informetrics, v. 8, n. 4, pp. 895-903. https://doi.org/10.1016/j.joi.2014.09.005&lt;br /&gt;
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Costas, Rodrigo; Zahedi, Zohreh; Wouters, Paul (2015). “Do ‘altmetrics’ correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective”. Journal of the Association for Information Science and Technology, v. 66, n. 10, pp. 2003-2019. https://doi.org/10.1002/asi.23309&lt;br /&gt;
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Gumpenberger, Christian; Glänzel, Wolfgang; Gorraiz, Juan (2016). “The ecstasy and the agony of the Altmetric score”. Scientometrics, v. 108, n. 2, pp. 977-982. https://doi.org/10.1007/s11192-016-1991-5&lt;br /&gt;
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Haustein, Stefanie; Bowman, Timothy D.; Costas, Rodrigo (2015). “Interpreting ‘altmetrics’: viewing acts on social media through the lens of citation and social theories”. In: Sugimoto, Cassidy R. (ed.). Theories of informetrics: A festschrift in honor of Blaise Cronin. http://arxiv.org/abs/1502.05701&lt;br /&gt;
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Haustein, Stefanie; Peters, Isabella; Bar-Ilan, Judit; Priem, Jason; Shema, Hadas; Terliesner, Jens (2014a). “Coverage and adoption of altmetrics sources in the bibliometric community”. Scientometrics, v. 101, n. 2, pp. 1145-1163. https://doi.org/10.1007/s11192-013-1221-3&lt;br /&gt;
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Haustein, Stefanie; Peters, Isabella; Sugimoto, Cassidy R.; Thelwall, Mike; Larivière, Vincent (2014b). “Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature”. Journal of the Association for Information Science and Technology, v. 65, n. 4, pp. 656-669. https://doi.org/10.1002/asi.23101&lt;br /&gt;
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Hicks, Diana; Wouters, Paul; Waltman, Ludo; De-Rijcke, Sarah; Ràfols, Ismael (2015). “The Leiden Manifesto for research metrics”. Nature, v. 520, n. 7548, pp. 429-431 https://www.nature.com/news/bibliometrics-the-leiden-manifesto-for-research-metrics-1.17351&lt;br /&gt;
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Liu, Jean; Adie, Euan (2013). “Five challenges in altmetrics: A toolmaker’s perspective”. Bulletin of the Association for Information Science and Technology, v. 39, n. 4, pp. 31-34. https://doi.org/10.1002/bult.2013.1720390410&lt;br /&gt;
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Martín-Martín, Alberto; Orduña-Malea, Enrique; Delgado-López-Cózar, Emilio (2016). “The role of ego in academic profile services: Comparing Google Scholar, ResearchGate, Mendeley, and ResearcherID”. https://doi.org/10.2139/ssrn.2745892&lt;br /&gt;
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Mohammadi, Ehsan; Thelwall, Mike (2014). “Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows”. Journal of the Association for Information Science and Technology, v. 65, n. 8, pp. 1627-1638. https://doi.org/10.1002/asi.23071&lt;br /&gt;
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Peters, Isabella; Kraker, Peter; Lex, Elisabeth; Gumpenberger, Christian; Gorraiz, Juan (2016). “Research data explored: An extended analysis of citations and altmetrics”. Scientometrics, v. 107, n. 2, pp. 723-744. https://doi.org/10.1007/s11192-016-1887-4&lt;br /&gt;
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Piwowar, Heather (2013a). “Altmetrics: Value all research products”. Nature, v. 493, n. 7431, pp. 159-159. https://doi.org/10.1038/493159a&lt;br /&gt;
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Piwowar, Heather (2013b). “Introduction altmetrics: what, why and where?”. Bulletin of the Association for Information Science and Technology, v. 39, n. 4, pp. 8-9. https://doi.org/10.1002/bult.2013.1720390404&lt;br /&gt;
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Priem, Jason; Hemminger, Bradley M. (2010). “Scientometrics 2.0: Toward new metrics of scholarly impact on the social web. First Monday, v. 15, n. 7. http://journals.uic.edu/ojs/index.php/fm/article/view/2874/2570&lt;br /&gt;
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Priem, Jason; Piwowar, Heather A.; Hemminger, Bradley M. (2012). “Altmetrics in the wild: Using social media to explore scholarly impact”. http://arxiv.org/html/1203.4745&lt;br /&gt;
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Robinson-García, Nicolás; Torres-Salinas, Daniel; Zahedi, Zohreh; Costas, Rodrigo (2014). “New data, new possibilities: Exploring the insides of Altmetric.com”. El profesional de la information, v. 23, n. 4, pp. 359-366. https://doi.org/10.3145/epi.2014.jul.03&lt;br /&gt;
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Torres-Salinas, Daniel; Robinson-García, Nicolás; Gorraiz, Juan (2017). “Filling the citation gap: Measuring the multidimensional impact of the academic book at institutional level with PlumX”. Scientometrics, v. 113, n. 3, pp. 1371-1384. https://doi.org/10.1007/s11192-017-2539-z&lt;br /&gt;
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Torres-Salinas, Daniel; Robinson-García, Nicolás; Jiménez-Contreras, Evaristo (2016). “Can we use altmetrics at the institutional level? A case study analysing the coverage by research areas of four Spanish universities”. https://arxiv.org/abs/1606.00232&lt;br /&gt;
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