Imperial College London
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MrVanashPatel

Faculty of Medicine, Department of Surgery & Cancer

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

vanash.patel06

 
 
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Location

 

1089Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bornmann:2020:10.1371/journal.pone.0242550,
author = {Bornmann, L and Haunschild, R and Patel, VM},
doi = {10.1371/journal.pone.0242550},
journal = {PLoS One},
title = {Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors},
url = {http://dx.doi.org/10.1371/journal.pone.0242550},
volume = {15},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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 possible to spatially map the activity of Twitter users referring to certain papers (e.g., dealing with tuberculosis). The resulting maps reveal whether heavy activity on Twitter is correlated with large numbers of people having certain diseases. In this study, we focus on tuberculosis, human immunodeficiency virus (HIV), and malaria, since the World Health Organization ranks these diseases as the top three causes of death worldwide by a single infectious agent. The results of the social-spatial Twitter maps (and additionally performed regression models) reveal the usefulness of the proposed sensor approach. One receives an impression of how research papers on the diseases have been perceived by people in regions that are especially concerned by these diseases. Our study demonstrates a promising approach for using Twitter data for research evaluation purposes beyond simple counting of tweets.
AU  - Bornmann,L
AU  - Haunschild,R
AU  - Patel,VM
DO  - 10.1371/journal.pone.0242550
PY  - 2020///
SN  - 1932-6203
TI  - Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors
T2  - PLoS One
UR  - http://dx.doi.org/10.1371/journal.pone.0242550
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33216816
UR  - http://hdl.handle.net/10044/1/85891
VL  - 15
ER  -
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