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Paying Attention to Attention: A Conceptual Framework for Studying News Reader Revenue Models Related to Platforms

Overview of attention for article published in Digital Journalism, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
27 tweeters
facebook
1 Facebook page

Readers on

mendeley
4 Mendeley
Title
Paying Attention to Attention: A Conceptual Framework for Studying News Reader Revenue Models Related to Platforms
Published in
Digital Journalism, November 2019
DOI 10.1080/21670811.2019.1691926
Authors

Merja Myllylahti

Twitter Demographics

The data shown below were collected from the profiles of 27 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Social Sciences 3 75%
Arts and Humanities 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 04 December 2019.
All research outputs
#837,898
of 13,995,463 outputs
Outputs from Digital Journalism
#110
of 443 outputs
Outputs of similar age
#27,508
of 265,502 outputs
Outputs of similar age from Digital Journalism
#1
of 1 outputs
Altmetric has tracked 13,995,463 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done well, scoring higher than 75% 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 265,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% 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