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Weather impacts expressed sentiment

Overview of attention for article published in PLoS ONE, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
20 news outlets
blogs
4 blogs
twitter
373 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Weather impacts expressed sentiment
Published in
PLoS ONE, April 2018
DOI 10.1371/journal.pone.0195750
Pubmed ID
Authors

Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu, Haohui Chen, Lorenzo Coviello, Esteban Moro, Manuel Cebrian, James H. Fowler

Abstract

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. We find that cold temperatures, hot temperatures, precipitation, narrower daily temperature ranges, humidity, and cloud cover are all associated with worsened expressions of sentiment, even when excluding weather-related posts. We compare the magnitude of our estimates with the effect sizes associated with notable historical events occurring within our data.

Twitter Demographics

The data shown below were collected from the profiles of 373 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 2%
Unknown 53 98%
Readers by discipline Count As %
Unspecified 1 2%
Unknown 53 98%

Attention Score in Context

This research output has an Altmetric Attention Score of 441. 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 02 March 2019.
All research outputs
#19,058
of 12,822,213 outputs
Outputs from PLoS ONE
#435
of 139,117 outputs
Outputs of similar age
#1,022
of 264,438 outputs
Outputs of similar age from PLoS ONE
#16
of 2,861 outputs
Altmetric has tracked 12,822,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 139,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done particularly well, scoring higher than 99% of its peers.
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 264,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 2,861 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.