https://hdl.handle.net/10481/2671 2026-04-19T02:32:59Z 2026-04-19T02:32:59Z Martín Martín, Alberto Thelwall, Mike Orduna-Malea, Enrique Delgado López-Cózar, Emilio https://hdl.handle.net/10481/66233 2021-06-22T07:53:36Z

Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations Martín Martín, Alberto; Thelwall, Mike; Orduna-Malea, Enrique; Delgado López-Cózar, Emilio New sources of citation data have recently become available, such as Microsoft Academic, Dimensions, and the OpenCitations Index of CrossRef open DOI-to-DOI citations (COCI). Although these have been compared to the Web of Science Core Collection (WoS), Scopus, or Google Scholar, there is no systematic evidence of their differences across subject categories. In response, this paper investigates 3,073,351 citations found by these six data sources to 2,515 English-language highly-cited documents published in 2006 from 252 subject categories, expanding and updating the largest previous study. Google Scholar found 88% of all citations, many of which were not found by the other sources, and nearly all citations found by the remaining sources (89–94%). A similar pattern held within most subject categories. Microsoft Academic is the second largest overall (60% of all citations), including 82% of Scopus citations and 86% of WoS citations. In most categories, Microsoft Academic found more citations than Scopus and WoS (182 and 223 subject categories, respectively), but had coverage gaps in some areas, such as Physics and some Humanities categories. After Scopus, Dimensions is fourth largest (54% of all citations), including 84% of Scopus citations and 88% of WoS citations. It found more citations than Scopus in 36 categories, more than WoS in 185, and displays some coverage gaps, especially in the Humanities. Following WoS, COCI is the smallest, with 28% of all citations. Google Scholar is still the most comprehensive source. In many subject categories Microsoft Academic and Dimensions are good alternatives to Scopus and WoS in terms of coverage.

Peis Redondo, Eduardo Herrera Viedma, Enrique Morales del Castillo, José Manuel https://hdl.handle.net/10481/66003 2021-06-21T11:30:45Z

Modelo de servicio semántico de difusión selectiva de información (DSI) para bibliotecas digitales Peis Redondo, Eduardo; Herrera Viedma, Enrique; Morales del Castillo, José Manuel Se presentan las bases teóricas y metodológicas para el desarrollo de un modelo de servicio multiagente de DSI para bibliotecas digitales especializadas que aplica tecnologías de web semántica para gestionar más eficazmente la información, mejorar los procesos de comunicación entre agentes y usuarios, y agilizar el acceso a recursos de interés. Para ello se utilizan canales rss a modo de boletines de novedades a partir de los cuales se generan alertas bibliográficas personalizadas. El servicio dispone de un módulo de gestión de canales rss y otro de push de información. En el primero los documentos son representados en forma de ítems en los canales rss y se les asignan materias semiautomáticamente, equiparando sus palabras clave asociadas con los términos de un tesauro en formato SKOS Core. En el módulo de push de información se generan las alertas personalizadas de acuerdo a las preferencias definidas en los perfiles de los usuarios; We present the theoretical and methodological foundations for the development of a multi-agent SDI service model for specialized digital libraries, applying semantic web technologies that permit more efficient information management, improving agent-user communication processes and facilitating accurate access to relevant resources. To do this, rss feeds are used as “current awareness bulletins” to generate personalized bibliographic alerts. The SDI service model has an rss feeds management module and an information push module. In the first module, resources are represented as rss feed items and are also semi-automatically assigned subject terms by matching their associated keywords against the terms of a SKOS Core format thesaurus. In the information push module, bibliographic alerts are customized according to the preferences defined on users’ profiles. Este trabajo se enmarca dentro del Proyecto de Excelencia Sainfoweb 0602 de la Junta de Andalucía y del proyecto Fuzzy-Ling (TIN2007-61079) del Ministerio de Educación y Ciencia.

Martín Martín, Alberto Orduña-Malea, Enrique Thelwall, Mike Delgado López-Cózar, Emilio https://hdl.handle.net/10481/53260 2021-06-22T07:53:36Z

Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories Martín Martín, Alberto; Orduña-Malea, Enrique; Thelwall, Mike; Delgado López-Cózar, Emilio Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%–96%), far ahead of Scopus (35%–77%) and WoS (27%–73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%–65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%–38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage.

Baños Legrán, Oresti Moral Muñoz, José Antonio Díaz-Reyes, Ignacio Arroyo Morales, Manuel Damas Hermoso, Miguel Herrera Viedma, Enrique Seon Hong, Choong Lee, Sungyong Pomares Cintas, Héctor Emilio Rojas Ruiz, Ignacio Villalonga Palliser, Claudia https://hdl.handle.net/10481/45009 2021-07-26T10:04:33Z

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment Baños Legrán, Oresti; Moral Muñoz, José Antonio; Díaz-Reyes, Ignacio; Arroyo Morales, Manuel; Damas Hermoso, Miguel; Herrera Viedma, Enrique; Seon Hong, Choong; Lee, Sungyong; Pomares Cintas, Héctor Emilio; Rojas Ruiz, Ignacio; Villalonga Palliser, Claudia Low back pain is the most prevalent musculoskeletal condition. This disorder constitutes one of the most common causes of disability worldwide, and as a result, it has a severe socioeconomic impact. Endurance tests are normally considered in low back pain rehabilitation practice to assess the muscle status. However, traditional procedures to evaluate these tests suffer from practical limitations, which potentially lead to inaccurate diagnoses. The use of digital technologies is considered here to facilitate the task of the expert and to increase the reliability and interpretability of the endurance tests. This work presents mDurance, a novel mobile health system aimed at supporting specialists in the functional assessment of trunk endurance by using wearable and mobile devices. The system employs a wearable inertial sensor to track the patient trunk posture, while portable electromyography sensors are used to seamlessly measure the electrical activity produced by the trunk muscles. The information registered by the sensors is processed and managed by a mobile application that facilitates the expert’s normal routine, while reducing the impact of human errors and expediting the analysis of the test results. In order to show the potential of the mDurance system, a case study has been conducted. The results of this study prove the reliability of mDurance and further demonstrate that practitioners are certainly interested in the regular use of a system of this nature.

Santa, Samaly Herrero Solana, Víctor https://hdl.handle.net/10481/33532 2021-06-15T11:14:57Z

Cobertura de la ciencia de América Latina y el Caribe en Scopus vs Web of Science Santa, Samaly; Herrero Solana, Víctor El propósito del presente trabajo es analizar y comparar el grado de cobertura de las revistas, la producción científica y la visibilidad que tienen los mayores productores de América Latina y el Caribe (LAC) en las bases de datos del Institute for Scientific Information (ISI) y Scopus. Los resultados demuestran una amplia cobertura de las revistas nacionales indizadas en SCimago Journal and Country Rank frente a las que incluye journal Citation Report (JCR). Sin embargo, muchas de estas incorporaciones son recientes, lo que no ha provocado un especial aumento de los documentos en Scopus y por el momento la producción y citación por países es bastante similar en ambas fuentes. Las revistas indizadas en SJR y que no están incluidas en JCR, alcanzan en general un bajo factor de impacto, mientras que las que están en ambas presentan valores similares.; This paper offers a comparative analysis of databases of the Institute for Scientific Information (ISI) and Scopus in terms of coverage of journals, scientific output and visibility of the most productive Latin American and Caribbean countries in these capacities. Results show wide coverage of national journals indexed in SCimago Journal and Country Rank (SJR) in contrast to those included in the journal Citation Report (JCR). Many of these, however, are recent additions that have not caused a significant increase of documents included in Scopus. Thus, the production and citation numbers for journals listed in both databases are similar, while journals indexed only in SJR exert, in general, lesser impact.