Benitez Juan, Beatriz

García Gómez, Consol

UPCommons. Portal del coneixement obert de la UPC

BACKGROUND  The CBL Library started writing bibliometric studies based on:  ISI Web of Science  Current Contents  2009-2014 Future New methodology in bibliometrics using Altmetrics Beatriz Benítez and Consol Garcia 0000-0001-5053-6522 and       0000-0001-8085-0088 2006-2009 2015 IMPROVEMENT 1: Scopus and ORCID Scopus used instead of Web Of Science. Search strategy was author’s name instead of WOS address field.  Authors’ names were extracted from LDAP.  Scopus ID feature and ORCID spread amongst the community, plus linkage of both databases, helped identify and disambiguate researchers with similar or the very same names.     Journal Citation Reports database was used to evaluate Journals. Quantitative indicators covered were:  Number of publications by author  Number of citations received by article  Journal titles   Journal Impact Factor  Journal Quartile  Type of publication  Subject category  Co-authors’ country  Co-authors’ institution   IMPROVEMENT  2: Futur  Use of Futur as bibliographic source  Futur is the University research portal, launched in 2015, with data populated from CRIS and institutional repository, UPCommons.  Contains other bibliographic material not covered in bibliographic databases. I.e. Posters, reports, book chapters, books, theses, exhibition’s  catalogue’s chapters, etc.  Includes Altmetric button both for item (if a DOI is provided) and author (if author has an ORCID) .   Bibliographic studies were based on University subjects, which enabled to compare different University areas, such as Campus, Departments, etc.   FUTURE TRENDS  • To complement Futur with providers and aggregators altmetrics data. • To select most commonly bibliographic data tools used by UPC·BCNTech faculty. I.e. Data aggregators such as Google Scholar Citations, Mendeley, Research Gate, Twitter, since rankings and preferences are usually built on them. • To include a new indicator that quantifies “popularity” using some of the features and data from Impacstory, Plum Analytics or altmetrics, such as:  Figure 2: Authors by research center bibliometrics data in 2009 (Castelldefels Baix Llobregat Campus).   Figure 3: items published by author since 2010. Figure 4: items published by journal title.  Figure 5: Futur, UPC research portal, displaying items with Altmetric button Figure 7: Impactstory record for a UPC Researcher. CHALLENGES Lack of standardization in author’s signature and ISI limitations on author search. • Bibliometric studies were based on author’s name. • Collected data referred to publications, citations, etc.  • Search strategy was set by address field of Web Of Science • Results were classified by department and research centers • Classification enabled to rank “best” authors. Findings: a qualitative indicator was required to enhance the quantitative indicator based on the number of publications.   Figure 1: UPC schools and Castelldefels Baix Llobregat Campus Figure 6: colours of the Altmetric donut.  

New methodology in bibliometrics using Altmetrics

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