A Web Tool to Map Research Impacts Via Altmetrics
Authors: 
Luís Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, and Jonice OliveiraAuthors Info & Claims
Luís Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, and Jonice OliveiraAuthors Info & ClaimsApril 2020
Pages 235 - 239
Abstract
Currently, there is a big concern on governments and research institutes on assessing the population awareness about the scientific innovations, such as new food production technologies and the development of drugs against emerging and neglected diseases. There is an unmet demand for new ways to show the impact of scientific research on social media (population’s main communication vehicles) and assess the social outreach of the scientific output. This article presents a novel web tool to map research impacts via Altmetrics, wich are alternative metrics based on the exchange of scientific knowledge on social media and online environments.
References
[1]
Euan Adie and William Roe. 2013. Altmetric: enriching scholarly content with article-level discussion and metrics. Learned Publishing 26, 1 (2013), 11–17.
[2]
Elton Alisson. 2018. Crise na ciência não se deve apenas à falta de recursos, avaliam cientistas. http://agencia.fapesp.br/crise-na-ciencia-nao-se-deve-apenas-a-falta-de-recursos-avaliam-cientistas/27103/
[3]
Altmetric.com. 2019. How is the Altmetric Attention Score calculated?https://help.altmetric.com/support/solutions/articles/6000060969-how-is-the-altmetric-attention-score-calculated-
[4]
Alain Barrat, Marc Barthélemy, and Alessandro Vespignani. 2008. Dynamical Processes on Complex Networks. Cambridge University Press.
[5]
Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Kilian Thiel, and Bernd Wiswedel. 2009. KNIME-the Konstanz information miner: version 2.0 and beyond. AcM SIGKDD explorations Newsletter 11, 1 (2009), 26–31. http://dl.acm.org/citation.cfm?id=1656280
[6]
Donald W Braben. 2002. Blue Skies Research and the global economy. Physica A: Statistical Mechanics and its Applications 314, 1-4(2002), 768–773.
[7]
Sergey Brin and Lawrence Page. 1998. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems 30, 1 (1998), 107–117. http://www.sciencedirect.com/science/article/pii/S016975529800110X
[8]
Sergey Brin and Lawrence Page. 1998. The Anatomy of a Large-Scale Hypertextual Web Search Engine. In Proceedings of the Seventh International Conference on World Wide Web 7(WWW7). Elsevier Science Publishers B. V., NLD, 107–117. https://dl.acm.org/doi/10.5555/297805.297827
[9]
Sergey Brin and Lawrence Page. 2012. Reprint of: The anatomy of a large-scale hypertextual web search engine. Computer Networks 56, 18 (Dec. 2012), 3825–3833. https://doi.org/10.1016/j.comnet.2012.10.007
[10]
Franck Courchamp, Jennifer A. Dunne, Yvon Le Maho, Robert M. May, Christophe Thébaud, and Michael E. Hochberg. 2015. Fundamental ecology is fundamental. Trends in Ecology & Evolution 30, 1 (Jan. 2015), 9–16. https://doi.org/10.1016/j.tree.2014.11.005
[11]
Fred D. Davis. 1985. A technology acceptance model for empirically testing new end-user information systems: Theory and results. PhD Thesis. Massachusetts Institute of Technology.
[12]
Fred D. Davis. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 13, 3 (Sept. 1989), 319–340. https://doi.org/10.2307/249008
[13]
Fred D. Davis, Richard P. Bagozzi, and Paul R. Warshaw. 1989. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 35, 8 (Aug. 1989), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
[14]
Linton C. Freeman. 1978. Centrality in social networks conceptual clarification. Social networks 1, 3 (1978), 215–239.
[15]
Olaf Hartig, Christian Bizer, and Johann-Christoph Freytag. 2009. Executing SPARQL Queries over the Web of Linked Data. In The Semantic Web - ISWC 2009. Vol. 5823. Springer Berlin Heidelberg, Berlin, Heidelberg, 293–309. https://doi.org/10.1007/978-3-642-04930-9_19
[16]
Riitta-Maija Hämäläinen, Arja R. Aro, Cathrine Juel Lau, Diana Rus, Liliana Cori, and Ahmed M. Syed. 2016. Cross-sector cooperation in health-enhancing physical activity policymaking: more potential than achievements?Health Research Policy and Systems 14, 1 (Dec. 2016). https://doi.org/10.1186/s12961-016-0103-6
[17]
Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, and Feng Xia. 2019. Academic social networks: Modeling, analysis, mining and applications. Journal of Network and Computer Applications 132 (April 2019), 86–103. https://linkinghub.elsevier.com/retrieve/pii/S1084804519300438
[18]
Barabási László. 2016. Network science. Cambridge university press.
[19]
Luís Fernando Monsores Passos Maia, Marcia Lenzi, and Jonice Oliveira. 2019. REALM: An altmetrics-based web system to map science impacts on society: a case study on chikungunya research. In Proceedings of the 25th Brazillian Symposium on Multimedia and the Web - WebMedia ’19. ACM Press, Rio de Janeiro, Brazil, 481–488. https://doi.org/10.1145/3323503.3361697
[20]
Luis Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, and Jonice Oliveira. 2019. REALM: An Altmetrics-based Framework to Map Science Impacts on Society. A Case Study on Zika Research. In IEEE/WIC/ACM International Conference on Web Intelligence on - WI ’19. ACM Press, Thessaloniki, Greece, 233–241. https://doi.org/10.1145/3350546.3352523
[21]
Luis Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Teixeira Rabello, and Jonice Oliveira. 2019. Scientific collaboration in Zika: identification of the leading research groups and researchers via social network analysis. Cad Saude Publica 35, 3 (April 2019), 1–21. https://doi.org/10.1590/0102-311X00220217
[22]
Luís Fernando Monsores Passos Maia and Jonice Oliveira. 2017. Investigation of Research impacts on the Zika Virus: An Approach Focusing on Social network Analysis and Altmetrics. In Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web - WebMedia ’17. ACM Press, Gramado, RS, Brazil, 413–416. https://doi.org/10.1145/3126858.3131593
[23]
Luis Fernando Monsores Passos Maia and Jonice Oliveira. 2018. REALM: Um Framework Computacional para Investigar os Impactos de Pesquisas Através de Métricas Alternativas. In Proceedings of 33rd Brazilan Symposium on Databases (SBBD 2018), Vol. 01. Sociedade Brasileira de Computação (SBC), Rio de Janeiro, RJ, Brazil, p. 37.http://sbbd.org.br/2018/wp-content/uploads/sites/5/2018/08/037-sbbd_2018-fp.pdf
[24]
Luís Fernando Monsores Passos Maia, Jonice Oliveira, Elaine Teixeira Rabello, Marcia Lenzi, and Kenneth Rochel de Camargo Jr. 2018. Scientific collaborations in Zika: identifying the main research groups through Social Scientific Network analysis. In Book of Abstracts - International Symposium on Zika Virus Research. Paris: European Union’s Horizon 2020 Research & Innovation Programme, Marseille, France, 101.
[25]
Luís Fernando Monsores Passos Maia and Marcela Mayumi Mauricio Yagui. 2017. Triplificação de dados de notícias sobre a Zika. In Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI). Sociedade Brasileira de Computação, Lavras, 40–47. https://doi.org/10.5753/sbsi.2017.6024
[26]
Kwiek Marek. 2012. Knowledge production in European universities: States, markets, and academic entrepreneurialism. Vol. 3. Peter Lang.
[27]
Marcela Mayumi Mauricio Yagui, Luís Fernando Monsores Passos Maia, Jonice Oliveira, and Adriana Vivacqua. 2019. A Crowdsourcing Platform for Curating Cultural and Empirical Knowledge. A Study Applied to Botanical Collections. In IEEE/WIC/ACM International Conference on Web Intelligence on - WI ’19 Companion. ACM Press, Thessaloniki, Greece, 322–326. https://doi.org/10.1145/3358695.3360920
[28]
Guilherme Vale Menezes, Nivio Ziviani, Alberto H.F. Laender, and Virgílio Almeida. 2009. A geographical analysis of knowledge production in computer science. In Proceedings of the 18th international conference on World wide web - WWW ’09. ACM Press, Madrid, Spain, 1041. https://doi.org/10.1145/1526709.1526849
[29]
Microcephaly Epidemic Research Group. 2016. Microcephaly in Infants, Pernambuco State, Brazil, 2015. Emerging Infectious Diseases 22, 6 (June 2016), 1090–1093. https://doi.org/10.3201/eid2206.160062
[30]
Mark E.J. Newman. 2004. Who Is the Best Connected Scientist?A Study of Scientific Coauthorship Networks. In Complex Networks, Eli Ben-Naim, Hans Frauenfelder, and Zoltan Toroczkai (Eds.). Vol. 650. Springer Berlin Heidelberg, Berlin, Heidelberg, 337–370. https://doi.org/10.1007/978-3-540-44485-5_16
[31]
NSF. [n. d.]. Social Media Policies | NSF - National Science Foundation. https://www.nsf.gov/social/policies.jsp
[32]
OECD. 2015. OECD Science, Technology and Industry Scoreboard 2015: Innovation for growth and society. OECD. https://doi.org/10.1787/sti_scoreboard-2015-en
[33]
Jason Priem. 2013. Scholarship: Beyond the paper. Nature 495, 7442 (2013), 437–440. http://www.nature.com/nature/journal/v495/n7442/full/495437a.html
[34]
Jason Priem, Paul Groth, and Dario Taraborelli. 2012. The Altmetrics Collection. PLoS ONE 7, 11 (2012). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486795/
[35]
Jason Priem and Heather Piwowar. 2012. The launch of ImpactStory: using altmetrics to tell data-driven stories. http://blogs.lse.ac.uk/impactofsocialsciences/2012/09/25/the-launch-of-impactstor/
[36]
Jason Priem, Dario Taraborelli, Paul Groth, and Cameron Neylon. 2010. Altmetrics: A manifesto. http://altmetrics.org/manifesto
[37]
Elaine Teixeira Rabello, Marcia Lenzi, Luis Fernando Monsores Passos Maia, Jonice Oliveira, Marcelo Pereira Garcia, Janine Cardoso, Gustavo Correa Matta, and Kenneth Rochel de Camargo Jr. 2018. Production and circulation of knowledge about Zika: from scientists to social media users. In Book of Abstracts - International Symposium on Zika Virus Research. Paris: European Union’s Horizon 2020 Research & Innovation Programme, Marseille, France, 106–107.
[38]
Daniel Sarewitz. 2013. Pure hype of pure research helps no one. Nature 497(2013). https://www.nature.com/news/polopoly_fs/1.13031!/menu/main/topColumns/topLeftColumn/pdf/497411a.pdf
[39]
Secretaria de Vigilância em Saúde, Ministério da Saúde. 2019. Monitoramento dos casos de arboviroses urbanas transmitidas pelo Aedes (dengue, chikungunya e Zika) até a Semana Epidemiológica 12 de 2019 e Levantamento Rápido de Índices para Aedes aegypti (LIRAa). Boletim Epidemiológico 50, 13 (2019).
[40]
Andy Tattersall. 2016. Altmetrics: A practical guide for librarians, researchers and academics. Facet Publishing.
[41]
W3C. 2014. RDF 1.1 Primer. https://www.w3.org/TR/rdf11-primer
[42]
Stanley Wasserman and Katherine Faust. 1994. Social network analysis: Methods and applications. Vol. 8. Cambridge university press.
[43]
ZIKAlliance. 2019. ZIKAlliance - About Us. https://zikalliance.tghn.org/about/
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- A Web Tool to Map Research Impacts Via Altmetrics
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April 2020
854 pages
ISBN:9781450370240
DOI:10.1145/3366424
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Published: 20 April 2020
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