Additive manufacturing technologies for biomedical engineering applicationsResearch trends and scientific impact

  1. Enara Zarrabeitia-Bilbao 1
  2. Izaskun Álvarez-Meaza 1
  3. Rosa-María Río-Belver 1
  4. Gaizka Garechana-Anacabe 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Zeitschrift:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Datum der Publikation: 2019

Titel der Ausgabe: Información y comunicación biomédica

Ausgabe: 28

Nummer: 2

Art: Artikel

DOI: 10.3145/EPI.2019.MAR.20 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: El profesional de la información

Ziele für nachhaltige Entwicklung

Zusammenfassung

Additive Manufacturing (AM) technologies, technologies that produce three-dimensional parts layer by layer from a material, have the potential to revolutionize the paradigm of manufacturing. Furthermore, in recent years AM technologies have sparked intense interest for developing medical implants, devices, and scaffolds. In this context, the main objective of this article is to present an overall view of the trends and the impact of the research carried out in AM technologies for biomedical engineering applications. Therefore, to achieve the main objective, a research trend and scientific impact analysis model was designed and implemented, to carry out a bibliometric indicator analysis, in general, and a web indicator analysis, in particular. The findings obtained will advance the means of visualizing the state of research in AM for biomedical engineering technologies.

Bibliographische Referenzen

  • Aduku, Kuku-Joseph; Thelwall, Mike; Kousha, Kayvan (2017). “Do Mendeley reader counts reflect the scholarly impact of conference papers? An investigation of computer science and engineering”. Scientometrics, v. 112, n. 1, pp. 573-581. https://doi.org/10.1007/s11192-017-2367-1
  • AM Platform (2014). Additive manufacturing: Strategic research agenda. http://www.rm-platform.com/linkdoc/AM SRA February 2014.pdf
  • Ardanuy, Jordi (2012). Breve introducción a la bibliometría. Universitat de Barcelona. http://diposit.ub.edu/dspace/bitstream/2445/30962/1/breve%20introduccion%20bibliometria.pdf
  • Bourell, David L.; Leu, Ming C.; Rosen, David W. (2009). Roadmap for additive manufacturing. Identifying the future of freeform processing. The University of Texas at Austin. https://wohlersassociates.com/roadmap2009A.pdf
  • Campbell, Thomas; Williams, Christopher; Ivanova, Olga; Garrett, Banning (2011). Could 3D printing change the World? Technologies, potential, and implications of additive manufacturing”. Atlantic Council. Strategic Foresight Report. http://globaltrends.thedialogue.org/wp-content/uploads/2014/11/Could-3D-Printing-Change-the-World-TechnologiesPotential-and-Implications-of-Additive-Manufacturing.pdf
  • Caviggioli, Federico; Ughetto, Elisa (2019). “A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society”. International journal of production economics, v. 208, pp. 254-268. https://doi.org/10.1016/j.ijpe.2018.11.022
  • Clarivate (2018). Web of Science. Clarivate. https://clarivate.com/products/web-of-science
  • Cruickshank, Michael (2017). “Additive manufacturing: Another layer to industry 4.0”. The manufacturer, 16 November. https://www.themanufacturer.com/articles/additive-manufacturing-another-layer-to-industry-4-0
  • Diem, Andrea; Wolter, Stefan C. (2013). “The use of bibliometrics to measure research performance in education sciences”. Research in higher education, v. 54, n. 1, pp. 86-114. https://doi.org/10.1007/s11162-012-9264-5
  • Ellegaard, Ole (2018). “The application of bibliometric analysis: Disciplinary and user aspects”. Scientometrics, v. 116, n. 1, pp. 181-202. https://doi.org/10.1007/s11192-018-2765-z
  • Filser, Lukas-Daniel; Da-Silva, Fábio-Francisco; De-Oliveira, Otávio-José (2017). “State of research and future research tendencies in lean healthcare: A bibliometric analysis”. Scientometrics, v. 112, n. 2, pp. 799-816. https://doi.org/10.1007/s11192-017-2409-8
  • Gridlogics Technologies Pvt Ltd (2014). 3-D printing: Technology insight report. An analysis of patenting activity around 3D-Printing from 1990-Current. Patent Insight Pro. https://www.patentinsightpro.com/techreports/0214/Tech%20Insight%20Report%20-%203D%20Printing.pdf
  • Gunashekar, Salil; Lavoie, Rémi; Roberge, Guillaume; Rashid, Mohammed; Marjanovic, Sonja (2015). A bibliometric analysis of research by the Cambridge Neuroscience Strategic Research Initiative: Extended summary. Rand Europe; Science-Metrix. https://www.rand.org/content/dam/rand/pubs/research_reports/RR1100/RR1189/RAND_RR1189.pdf
  • Haustein, Stefanie; Larivière, Vincent; Thelwall, Mike; Amyot, Didier; Peters, Isabella (2014). “Tweets vs. Mendeley readers: How do these two social media metrics differ?”. Information technology, v. 56, n. 5, pp 207-215. https://arxiv.org/pdf/1410.0569.pdf https://doi.org/10.1515/itit-2014-1048
  • Holmberg, Kim (2015). Altmetrics for information professionals: Past, present and future. ISBN: 978 0 081002773
  • Jing, Su; Qinghua, Zhai; Landström, Hans (2017). “Entrepreneurship across regions: Internationalization and/or contextualization?”. In: Carmo-Farinha, Luis M.; Ferreira, João J. M.; Lawton, Helen; Bagchi-Sen, Sharmistha. Handbook of research on global competitive advantage through innovation and entrepreneurship, pp. 731-752. ISBN: 978 1 466683488 https://doi.org/10.4018/978-1-4666-8348-8.ch022
  • Koskinen, Johanna; Isohanni, Matti; Paajala, Henna; Jääskeläinen, Erika; Nieminen, Pentti; Koponen, Hannu; Tienari, Pekka; Miettunen, Jouko (2008). “How to use bibliometric methods in evaluation of scientific research? An example from Finnish schizophrenia research”. Nordic journal of psychiatry, v. 62, n. 2, pp. 136-143. https://doi.org/10.1080/08039480801961667
  • Kousha, Kayvan; Thelwall, Mike (2017a). “Are Wikipedia citations important evidence of the impact of scholarly articles and books?” Journal of the Association for Information Science and Technology, v. 68, n. 3, pp. 762-779. https://doi.org/10.1002/asi.23694
  • Kousha, Kayvan; Thelwall, Mike (2017b). “Patent citation analysis with Google”. Journal of the Association for Information Science and Technology, v. 68, n. 1, pp. 48-61. https://doi.org/10.1002/asi.23608
  • López-Illescas, Carmen; De-Moya-Anegón, Félix; Moed, Henk F. (2009). “Comparing bibliometric country-by-country rankings derived from the Web of Science and Scopus: The effect of poorly cited journals in oncology”. Journal of information science, v. 35, n. 2, pp. 244-256. https://doi.org/10.1177/0165551508098603
  • López-Muñoz, Francisco; Alamo, Cecilio; Rubio, Gabriel; García-García, Pilar; Martín-Agueda, Belén; Cuenca, Eduardo (2003). “Bibliometric analysis of biomedical publications on SSRI during 1980-2000”. Depression and anxiety, v. 18, n. 2, pp. 95-103. https://doi.org/10.1002/da.10121
  • Marx, Werner; Bornmann, Lutz (2016). “Change of perspective: bibliometrics from the point of view of cited references A literature overview on approaches to the evaluation of cited references in bibliometrics”. Scientometrics, v. 109, n. 2, pp. 1397-1415. https://doi.org/10.1007/s11192-016-2111-2
  • Muhuri, Pranab K.; Shukla, Amit K.; Abraham, Ajith (2019). “Industry 4.0: A bibliometric analysis and detailed overview”. Engineering applications of artificial intelligence, v. 78, pp. 218-235. https://doi.org/10.1016/j.engappai.2018.11.007
  • OECD (2016). Enabling the next production revolution: the future of manufacturing and services. Interim report. Meeting of the OECD Council at Ministerial Level. https://www.oecd.org/mcm/documents/Enabling-the-next-production-revolution-the-future-of-manufacturing-andservices-interim-report.pdf
  • Quarshie, Robert; MacLachlan, Stuart; Reeves, Phil; Whittaker, David; Blake, Robert (2012). Shaping our national competency in additive manufacturing. Additive Manufacturing. Special Interest Group. https://docplayer.net/7645943-Shaping-our-national-competency-in-additive-manufacturing.html
  • Rodríguez-Salvador, Marisela; Río-Belver, Rosa-María; Garechana-Anacabe, Gaizka (2017). “Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: The case of 3D bioprinting”. PLoS one, v. 12, n. 6, e0180375. https://doi.org/10.1371/journal.pone.0180375
  • Singh, Sunpreet; Ramakrishna, Seeram (2017). “Biomedical applications of additive manufacturing: Present and future”. Current opinion in biomedical engineering, v. 2, pp. 105-115. https://doi.org/10.1016/j.cobme.2017.05.006
  • Thelwall, Mike (2009a). Introduction to Webometric analyst 2.0: A research tool for social scientists. http://lexiurl.wlv.ac.uk/searcher/IntroductionToWebometricAnalyst2.doc
  • Thelwall, Mike (2009b). “Introduction to Webometrics: Quantitative web research for the social sciences”. Information concepts, retrieval, and services, v. 1, n. 1. https://doi.org/10.2200/S00176ED1V01Y200903ICR004
  • Thelwall, Mike (2016). “Web indicators for research evaluation: A practical guide”. Information concepts, retrieval, and services, v. 8, n. 4. https://doi.org/10.2200/S00733ED1V01Y201609ICR052
  • Thelwall, Mike (2018). Statistical cybermetrics. Research Group. http://cybermetrics.wlv.ac.uk
  • Thelwall, Mike; Kousha, Kayvan (2015a). “Web indicators for research evaluation. Part 1: Citations and links to academic articles from the Web”. El profesional de la información, v. 24, n. 5, p. 587. https://doi.org/10.3145/epi.2015.sep.08
  • Thelwall, Mike; Kousha, Kayvan (2015b). “Web indicators for research evaluation. Part 2: Social media metrics”. El profesional de la información, v. 24, n. 5, pp. 607-620. https://doi.org/10.3145/epi.2015.sep.09
  • Thelwall, Mike; Sud, Pardeep (2018). “A comparison of title words for journals articles and Wikipedia pages: Coverage and stylistic differences?”. El profesional de la información, v. 27, n. 1, pp. 49-64. https://doi.org/10.3145/epi.2018.ene.05
  • Tjahjono, Benny; Esplugues, C.; Ares, Enrique; Peláez, Gerardo C. (2017). “What does industry 4.0 mean to supply chain?”. Procedia manufacturing, v. 13, pp. 1175-1182. https://doi.org/10.1016/j.promfg.2017.09.191
  • Van-Eck, Nees-Jan; Waltman, Ludo (2007). “VOS: A new method for visualizing similarities between objects”. In: Decker, Reinhold; Lenz, Hans-Joachim (eds.). Advances in data analysis. Studies in classification, data analysis, and knowledge organization. Berlin, Heidelberg: Springer, pp. 299-306. ISBN: 978 3 540 70980 0 https://doi.org/10.1007/978-3-540-70981-7_34
  • Van-Eck, Nees-Jan; Waltman, Ludo (2009). “How to normalize cooccurrence data? An analysis of some well-known similarity measures”. Journal of the American Society for Information Science and Technology, v. 60, n. 8, pp. 1635-1651. https://doi.org/10.1002/asi.21075
  • Van-Eck, Nees-Jan; Waltman, Ludo (2010). “Software survey: VOSviewer, a computer program for bibliometric mapping.” Scientometrics, v. 84, n. 2, pp. 523-538. https://doi.org/10.1007/s11192-009-0146-3
  • Van-Eck, Nees-Jan; Waltman, Ludo (2011). “Text mining and visualization using VOSviewer”. ISSI newsletter, v. 7, n. 3, pp. 50-54. http://arxiv.org/abs/1109.2058
  • VantagePoint (2018). The VantagePoint. https://www.thevantagepoint.com
  • VOSviewer (2018). “VOSviewer. Visualizing scientific landscapes. http://www.vosviewer.com
  • Waltman, Ludo; Van-Eck, Nees-Jan; Noyons, Ed C. M. (2010). “A unified approach to mapping and clustering of bibliometric networks”. Journal of informetrics, v. 4, n. 4, pp. 629-635. http://arxiv.org/abs/1006.1032
  • Zarrabeitia-Bilbao, Enara; Bildosola, Iñaki; Río-Belver, Rosa-María; Álvarez-Meaza, Izaskun; Cilleruelo-Carrasco, Ernesto (2019). “Laser additive manufacturing: A patent overview”. Engineering digital transformation, pp. 183-191. https://doi.org/10.1007/978-3-319-96005-0_23
Fuente de los datos: Dialnet