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Internal crowdsourcing: conceptual framework, structured review, and research agenda

Overview of attention for article published in Journal of Information Technology, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 208)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
220 Mendeley
Title
Internal crowdsourcing: conceptual framework, structured review, and research agenda
Published in
Journal of Information Technology, June 2016
DOI 10.1057/jit.2016.14
Authors

Oliver Zuchowski, Oliver Posegga, Daniel Schlagwein, Kai Fischbach

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

Geographical breakdown

Country Count As %
Germany 3 1%
Brazil 1 <1%
Unknown 216 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 23%
Student > Master 38 17%
Student > Doctoral Student 21 10%
Student > Bachelor 17 8%
Researcher 14 6%
Other 42 19%
Unknown 37 17%
Readers by discipline Count As %
Business, Management and Accounting 81 37%
Computer Science 47 21%
Social Sciences 17 8%
Engineering 10 5%
Economics, Econometrics and Finance 6 3%
Other 14 6%
Unknown 45 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 November 2022.
All research outputs
#1,918,495
of 25,373,627 outputs
Outputs from Journal of Information Technology
#21
of 208 outputs
Outputs of similar age
#34,540
of 367,844 outputs
Outputs of similar age from Journal of Information Technology
#1
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 89% 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 367,844 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 90% of its contemporaries.
We're also able to compare this research output to 5 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