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Disinformation in Open Online Media

Overview of attention for book
Disinformation in Open Online Media
Springer International Publishing
Attention for Chapter: Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
9 Mendeley
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Chapter title
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data
Book title
Lecture Notes in Computer Science
Published in
Lecture notes in computer science, September 2021
DOI 10.1007/978-3-030-87031-7_3
Book ISBNs
978-3-03-087030-0, 978-3-03-087031-7
Authors

Luber, Mattias, Weisser, Christoph, Säfken, Benjamin, Silbersdorff, Alexander, Kneib, Thomas, Kis-Katos, Krisztina

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 7 78%
Readers by discipline Count As %
Computer Science 1 11%
Unknown 8 89%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2022.
All research outputs
#14,063,113
of 23,310,485 outputs
Outputs from Lecture notes in computer science
#4,166
of 8,160 outputs
Outputs of similar age
#199,220
of 430,056 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 14 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 47th percentile – i.e., 47% 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 430,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.