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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 594)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
91 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
145 Mendeley
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Article details
Title
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs
Published in
EPJ Data Science, October 2017
DOI 10.1140/epjds/s13688-017-0121-9
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 91 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Student > Master 17 12%
Researcher 16 11%
Student > Doctoral Student 9 6%
Student > Bachelor 7 5%
Other 20 14%
Unknown 47 32%
Readers by discipline
Readers by discipline Count As %
Computer Science 34 23%
Social Sciences 14 10%
Linguistics 6 4%
Psychology 6 4%
Business, Management and Accounting 5 3%
Other 27 19%
Unknown 53 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 29 November 2021.
All research outputs
#667,424
of 32,973,893 outputs
Outputs from EPJ Data Science
#37
of 594 outputs
Outputs of similar age
#10,788
of 363,767 outputs
Outputs of similar age from EPJ Data Science
#2
of 8 outputs
Altmetric has tracked 32,973,893 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.6. This one has done particularly well, scoring higher than 93% 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 363,767 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 97% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.