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Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Overview of attention for article published in Journal of Medical Internet Research, May 2019
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Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Readers on

mendeley
8 Mendeley
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Title
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations
Published in
Journal of Medical Internet Research, May 2019
DOI 10.2196/12881
Authors

Zubair Shah, Paige Martin, Enrico Coiera, Kenneth D Mandl, Adam G Dunn

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Doctoral Student 2 25%
Student > Master 1 13%
Librarian 1 13%
Professor > Associate Professor 1 13%
Other 1 13%
Readers by discipline Count As %
Unspecified 4 50%
Computer Science 3 38%
Decision Sciences 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2019.
All research outputs
#9,975,492
of 13,044,916 outputs
Outputs from Journal of Medical Internet Research
#2,773
of 2,912 outputs
Outputs of similar age
#141,347
of 209,771 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 13,044,916 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.0. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 209,771 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them