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What Makes a High-Quality User-Generated Answer?

Overview of attention for article published in IEEE Internet Computing, December 2010
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Mentioned by

patent
3 patents

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
28 Mendeley
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Title
What Makes a High-Quality User-Generated Answer?
Published in
IEEE Internet Computing, December 2010
DOI 10.1109/mic.2011.23
Authors

B M John, A Y Chua, Dion Hoe-Lian Goh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Student > Doctoral Student 3 11%
Lecturer 2 7%
Librarian 2 7%
Student > Master 2 7%
Other 7 25%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 15 54%
Social Sciences 4 14%
Business, Management and Accounting 3 11%
Linguistics 1 4%
Materials Science 1 4%
Other 0 0%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 November 2018.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Internet Computing
#270
of 839 outputs
Outputs of similar age
#58,228
of 192,207 outputs
Outputs of similar age from IEEE Internet Computing
#1
of 3 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 839 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 23rd percentile – i.e., 23% 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 192,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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