↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 884)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
43 X users
facebook
2 Facebook pages

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
88 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Student > Ph. D. Student 11 13%
Researcher 8 9%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Other 23 26%
Unknown 20 23%
Readers by discipline Count As %
Social Sciences 42 48%
Business, Management and Accounting 7 8%
Arts and Humanities 5 6%
Unspecified 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 8%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 19 May 2022.
All research outputs
#589,710
of 24,818,814 outputs
Outputs from Digital Journalism
#36
of 884 outputs
Outputs of similar age
#13,067
of 366,654 outputs
Outputs of similar age from Digital Journalism
#1
of 20 outputs
Altmetric has tracked 24,818,814 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 884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one has done particularly well, scoring higher than 96% 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 366,654 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 96% of its contemporaries.
We're also able to compare this research output to 20 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.