A Web Tool to Map Research Impacts Via Altmetrics

Luís Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, Jonice Oliveira

Research output: Chapter in Book/Report/Conference proceedingConference paper

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.
Original languageEnglish
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
EditorsAmal El Fallah Seghrouchni, Gite Sukthankar, Tie-Yan Liu, Maarten van Steen
PublisherAssociation for Computing Machinery
Pages235-239
Number of pages5
ISBN (Print)9781450370240
DOIs
Publication statusPublished - 20 Apr 2020
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China
Duration: 20 Apr 202024 Apr 2020

Publication series

NameThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

Conference

Conference29th International World Wide Web Conference, WWW 2020
CountryTaiwan, Province of China
CityTaipei
Period20/04/2024/04/20

Keywords

  • altmetrics
  • bibliometrics
  • chikungunya
  • social network analysis
  • zika

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    Fernando Monsores Passos Maia, L., Lenzi, M., Rabello, E., & Oliveira, J. (2020). A Web Tool to Map Research Impacts Via Altmetrics. In A. El Fallah Seghrouchni, G. Sukthankar, T-Y. Liu, & M. van Steen (Eds.), The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 (pp. 235-239). (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020). Association for Computing Machinery. https://doi.org/10.1145/3366424.3383549