Cargando…
Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors
We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by these diseases. Since (some) Twitter data contain location information, it is possi...
Autores principales: | Bornmann, Lutz, Haunschild, Robin, Patel, Vanash M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678968/ https://www.ncbi.nlm.nih.gov/pubmed/33216816 http://dx.doi.org/10.1371/journal.pone.0242550 |
Ejemplares similares
-
A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion
por: Patel, Vanash M., et al.
Publicado: (2021) -
How to normalize Twitter counts? A first attempt based on journals in the Twitter Index
por: Bornmann, Lutz, et al.
Publicado: (2016) -
Field- and time-normalization of data with many zeros: an empirical analysis using citation and Twitter data
por: Haunschild, Robin, et al.
Publicado: (2018) -
Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers
por: Haunschild, Robin, et al.
Publicado: (2021) -
Plots for visualizing paper impact and journal impact of single researchers in a single graph
por: Bornmann, Lutz, et al.
Publicado: (2018)