Cited By
View all- Fernando Monsores Passos Maia LLenzi MRabello EOliveira J(2020)A Web Tool to Map Research Impacts Via AltmetricsCompanion Proceedings of the Web Conference 202010.1145/3366424.3383549(235-239)Online publication date: 20-Apr-2020
REALM: An altmetrics-based web system to map science impacts on society: a case study on chikungunya research
Pages 481 - 488
Abstract
There is a growing concern on governments to measure the public awareness of the scientific findings, that is, how citizens interpret the efficiency of scientists and their efforts to find solutions. This scenario demands mechanisms to identify the reputation of experts in specific fields of science or in certain topics of interest, such as the Chikungunya fever. In order to meet this demand we present REALM, an altmetrics-based web system that allows the extraction of three groups of metrics (productivity, academic impact and social impact) and correlates these metrics to identify the main scientists or groups of scientists in specific research scenarios. The system was applied on the Chikungunya research, where the most important names and studies related to the disease were identified and their reputation was evaluated by Fiocruz specialists.
References
[1]
E Adie and W Roe. 2013. Altmetric: enriching scholarly content with article-level discussion and metrics. Learned Publishing 26, 1 (2013), 11--17.
[2]
M Aggarwal et al. 2017. Evaluation of antiviral activity of piperazine against Chikungunya virus targeting hydrophobic pocket of alphavirus capsid protein. Antivir. Res 146 (2017), 102--111.
[3]
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-deveapenas-a-falta-de-recursos-avaliam-cientistas/27103/
[4]
K Banerjee and KR Singh. 1969. Loss of mouse virulence in Chikungunya virus from the carrier culture of Aedes albopictus cell line. Indian J. Med. Res 57, 6 (1969), 1003.
[5]
J Bar-Ilan, G Halevi, and S Milojević. 2019. Differences between Altmetric Data Sources - A Case Study. Journal of Altmetrics 2, 1 (2019), 1.
[6]
A Barrat, M Barthélemy, and A Vespignani. 2008. Dynamical Processes on Complex Networks. Cambridge University Press.
[7]
DW Braben. 2002. Blue Skies Research and the global economy. Physica A: Statistical Mechanics and its Applications 314, 1-4 (2002), 768--773.
[8]
MA Brandão and MM Moro. 2017. The strength of co-authorship ties through different topological properties. J. Braz. Comp. Soc 23, 1 (2017).
[9]
R Costas, Z Zahedi, and P Wouters. 2015. Do "altmetrics" correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective: Do "Altmetrics" Correlate With Citations? J. Assoc. Inf. Sci. Technol 66, 10 (2015), 2003--2019.
[10]
F Courchamp et al. 2015. Fundamental ecology is fundamental. Trends in Ecology & Evolution 30, 1 (2015), 9--16.
[11]
A Duarte et al. 2014. WebMedia XX: Who We Are And What We Have Done In The Last Two Decades. In Proceedings of the 20th Brazilian Symposium on Multimedia and the Web - WebMedia '14. ACM Press, Joao Pessoa, Brazil, 91--98.
[12]
LC Freeman. 1978. Centrality in social networks conceptual clarification. Social networks 1, 3 (1978), 215--239.
[13]
SU Hassan and UA Gillani. 2016. Altmetrics of "altmetrics" using Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki. arXiv:1603.07992 [cs] (2016).
[14]
S Haustein et al. 2014. Tweets vs. Mendeley readers: How do these two social media metrics differ? Information Technology 56, 5 (2014).
[15]
CP Hoffmann, C Lutz, and M Meckel. 2014. Impact Factor 2.0: Applying Social Network Analysis to Scientific Impact Assessment. In Proceedings of the 47th Hawaii International Conference on System Sciences. IEEE, 1576--1585.
[16]
NA Honório et al. 2018. Chikungunya virus vector competency of Brazilian and Florida mosquito vectors. PLOS Negl. Prop. Dis 12, 6 (2018).
[17]
R Hämäläinen et al. 2016. Cross-sector cooperation in health-enhancing physical activity policymaking: more potential than achievements? Health Research Policy and Systems 14, 1 (2016).
[18]
X Kong et al. 2019. Academic social networks: Modeling, analysis, mining and applications. J NETW COMPUT APPL 132 (2019), 86--103.
[19]
H Kwak and JG Lee. 2014. Has Much Potential but Biased: Exploring the Scholarly Landscape in Twitter. In Proceedings of the 23rd International Conference on World Wide Web. ACM, New York, NY, USA, 563--564.
[20]
TN Lima-Camara. 2016. Emerging arboviruses and public health challenges in Brazil. Rev Saude Publica 50 (2016), 36.
[21]
TV Loach and TS Evans. 2015. Ranking Journals Using Altmetrics. arXiv:1507.00451 [cs] (2015). arXiv: 1507.00451.
[22]
N Maflahi and M Thelwall. 2016. When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS journals. J. Assoc. Inf. Sci. Technol 67, 1 (2016), 191--199.
[23]
LFMP Maia et al. 2018. Scientific collaborations in Zika: identifying the main research groups through Social Scientific Network analysis. In International Symposium on Zika Virus Research. European Union's Horizon 2020 Research & Innovation Programme, Marseille, France, 101.
[24]
LFMP Maia et al. 2019. Scientific collaboration in Zika: identification of the leading research groups and researchers via social network analysis. Cad Saude Publica 35, 3 (2019), 1--21.
[25]
LFMP Maia and J 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.
[26]
LFMP Maia and J 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). Rio de Janeiro, RJ, Brazil, p. 37.
[27]
LFMP Maia and MMM Yagui. 2017. Triplificação de dados de notícias sobre a Zika. In Anais do XIII Simpósio Brasileiro de Sistemas de Informação. Lavras.
[28]
K Marek. 2012. Knowledge production in European universities: States, markets, and academic entrepreneurialism. Vol. 3. Peter Lang.
[29]
A Martin-Martin et al. 2016. The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley & Twitter. arXiv:1602.02412 [cs] (2016). arXiv: 1602.02412.
[30]
E Mohammadi et al. 2015. Who reads research articles? An altmetrics analysis of Mendeley user categories. J Assn Inf Sci Tec 66, 9 (2015), 1832--1846.
[31]
BN Nagpal et al. 2012. Retrospective study of chikungunya outbreak in urban areas of India. Indian J. Med. Res 135, 3 (2012), 351.
[32]
NSF. [n. d.]. Social Media Policies | NSF - National Science Foundation.
[33]
OECD. 2015. OECD Science, Technology and Industry Scoreboard 2015: Innovation for growth and society. OECD.
[34]
L Page. 2001. United States Patent: 6285999 - Method for node ranking in a linked database.
[35]
A Perianes-Rodríguez, C Olmeda-Gómez, and F Moya-Anegón. 2010. Detecting, identifying and visualizing research groups in co-authorship networks. Scientometrics 82, 2 (2010), 307--319.
[36]
J Priem. 2013. Scholarship: Beyond the paper. Nature 495, 7442 (2013), 437--440.
[37]
J Priem et al. 2010. Altmetrics: A manifesto. http://altmetrics.org/manifesto
[38]
J Priem, P Groth, and D Taraborelli. 2012. The Altmetrics Collection. PLoS One 7, 11 (2012).
[39]
J Priem and H 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/
[40]
D Sarewitz. 2013. Pure hype of pure research helps no one. Nature 497, 7450 (2013), 411--411.
[41]
Clémentine Schilte et al. 2013. Chikungunya Virus-associated Long-term Arthralgia: A 36-month Prospective Longitudinal Study. PLOS Negl. Trop. Dis 7, 3 (2013), e2137.
[42]
Secretaria de Ciência e Tecnologia e Insumos Estratégicos, Ministério da Saúde. 2006. Da política à ação institutional: prioridades de pesquisa no Ministério da Saúde. Rev Saude Publica 40, 3 (2006), 548--552.
[43]
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).
[44]
NM Silva et al. 2018. Chikungunya surveillance in Brazil: challenges in the context of Public Health. Epidemiol. Serv. Saude 27, 3 (2018).
[45]
S Wasserman and K Faust. 1994. Social network analysis:Methods and applications. Vol. 8. Cambridge university press.
[46]
WHO. 2018. Chikungunya Vaccines in the Pipeline. https://www.who.int/immunization/research/meetings_workshops/28_Kang_Chikungunya.pdf
Index Terms
- REALM: An altmetrics-based web system to map science impacts on society: a case study on chikungunya research
Recommendations
REALM: An Altmetrics-based Framework to Map Science Impacts on Society. A Case Study on Zika Research
WI '19: IEEE/WIC/ACM International Conference on Web IntelligenceNowadays, a lot of universities and research institutes are concerned with measuring their scientists’ productivity and the public awareness of its scientific discoveries, that is, how citizens interpret the efficiency of scientists and their efforts to ...
A Web Tool to Map Research Impacts Via Altmetrics
WWW '20: Companion Proceedings of the Web Conference 2020Currently, 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 ...
Using altmetrics for assessing research impact in the humanities
The prospects of altmetrics are especially encouraging for research fields in the humanities that currently are difficult to study using established bibliometric methods. Yet, little is known about the altmetric impact of research fields in the ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2019
537 pages
ISBN:9781450367639
DOI:10.1145/3323503
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 October 2019
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
Conference
WebMedia '19
WebMedia '19: Brazilian Symposium on Multimedia and the Web
October 29 - November 1, 2019
Rio de Janeiro, Brazil
Acceptance Rates
Overall Acceptance Rate 270 of 873 submissions, 31%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 239Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)2
Reflects downloads up to 30 Nov 2024
Other Metrics
Citations
Cited By
View all- Fernando Monsores Passos Maia LLenzi MRabello EOliveira J(2020)A Web Tool to Map Research Impacts Via AltmetricsCompanion Proceedings of the Web Conference 202010.1145/3366424.3383549(235-239)Online publication date: 20-Apr-2020
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in