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Text mining and determinants of sentiments: Twitter social media usage by traditional media houses in Uganda

Overview of attention for article published in Computational Social Networks, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
72 Mendeley
Title
Text mining and determinants of sentiments: Twitter social media usage by traditional media houses in Uganda
Published in
Computational Social Networks, April 2019
DOI 10.1186/s40649-019-0063-4
Authors

Frank Namugera, Ronald Wesonga, Peter Jehopio

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Ph. D. Student 10 14%
Lecturer 6 8%
Student > Bachelor 4 6%
Researcher 4 6%
Other 9 13%
Unknown 28 39%
Readers by discipline Count As %
Computer Science 21 29%
Engineering 7 10%
Business, Management and Accounting 4 6%
Environmental Science 2 3%
Social Sciences 2 3%
Other 5 7%
Unknown 31 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 April 2019.
All research outputs
#14,696,279
of 25,715,849 outputs
Outputs from Computational Social Networks
#14
of 41 outputs
Outputs of similar age
#180,116
of 367,595 outputs
Outputs of similar age from Computational Social Networks
#1
of 1 outputs
Altmetric has tracked 25,715,849 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 41 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 27 of them.
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 367,595 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 50% of its contemporaries.
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