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Advancing the Development of Contextually Relevant ICT4D Theories - From Explanation to Design

Overview of attention for article published in European Journal of Information Systems, January 2022
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1 X user

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37 Mendeley
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Article details
Title
Advancing the Development of Contextually Relevant ICT4D Theories - From Explanation to Design
Published in
European Journal of Information Systems, January 2022
DOI 10.1080/0960085x.2022.1994119
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Doctoral Student 3 8%
Lecturer 2 5%
Professor 2 5%
Student > Master 2 5%
Other 5 14%
Unknown 17 46%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 11 30%
Computer Science 4 11%
Arts and Humanities 3 8%
Agricultural and Biological Sciences 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 17 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 February 2022.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from European Journal of Information Systems
#270
of 326 outputs
Outputs of similar age
#415,322
of 505,415 outputs
Outputs of similar age from European Journal of Information Systems
#9
of 15 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 326 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 505,415 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.