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On-line trust: concepts, evolving themes, a model

Overview of attention for article published in International Journal of Human-Computer Studies, June 2003
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user

Readers on

mendeley
1463 Mendeley
citeulike
17 CiteULike
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Article details
Title
On-line trust: concepts, evolving themes, a model
Published in
International Journal of Human-Computer Studies, June 2003
DOI 10.1016/s1071-5819(03)00041-7
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,463 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 17 1%
United Kingdom 16 1%
Netherlands 8 <1%
Germany 6 <1%
Canada 4 <1%
Switzerland 4 <1%
Portugal 4 <1%
Italy 3 <1%
Ghana 2 <1%
Other 27 2%
Unknown 1372 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 280 19%
Student > Ph. D. Student 226 15%
Student > Bachelor 120 8%
Researcher 95 6%
Student > Doctoral Student 87 6%
Other 232 16%
Unknown 423 29%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 331 23%
Computer Science 221 15%
Social Sciences 151 10%
Psychology 88 6%
Economics, Econometrics and Finance 63 4%
Other 144 10%
Unknown 465 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 February 2022.
All research outputs
#5,404,891
of 27,776,330 outputs
Outputs from International Journal of Human-Computer Studies
#203
of 1,310 outputs
Outputs of similar age
#10,484
of 60,044 outputs
Outputs of similar age from International Journal of Human-Computer Studies
#5
of 18 outputs
Altmetric has tracked 27,776,330 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,310 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 83% 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 60,044 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 81% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.