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Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities

Overview of attention for article published in European Journal of Information Systems, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
3 X users
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
302 Dimensions

Readers on

mendeley
421 Mendeley
citeulike
1 CiteULike
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Title
Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities
Published in
European Journal of Information Systems, December 2017
DOI 10.1057/ejis.2010.15
Authors

Clay Posey, Paul Benjamin Lowry, Tom L Roberts, T Selwyn Ellis

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 421 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 1%
United States 4 <1%
France 3 <1%
South Africa 3 <1%
Hong Kong 2 <1%
Netherlands 1 <1%
Ghana 1 <1%
Australia 1 <1%
Sweden 1 <1%
Other 5 1%
Unknown 394 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 19%
Student > Master 55 13%
Student > Doctoral Student 45 11%
Researcher 33 8%
Student > Bachelor 30 7%
Other 93 22%
Unknown 83 20%
Readers by discipline Count As %
Business, Management and Accounting 134 32%
Computer Science 71 17%
Social Sciences 49 12%
Psychology 24 6%
Arts and Humanities 7 2%
Other 35 8%
Unknown 101 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 August 2021.
All research outputs
#6,136,401
of 22,763,032 outputs
Outputs from European Journal of Information Systems
#65
of 320 outputs
Outputs of similar age
#123,869
of 438,891 outputs
Outputs of similar age from European Journal of Information Systems
#23
of 150 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 320 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 79% 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 438,891 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 71% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.