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VisArchive: a time and relevance based visual interface for searching, browsing, and exploring project archives

Overview of attention for article published in Visualization in Engineering, March 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
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Title
VisArchive: a time and relevance based visual interface for searching, browsing, and exploring project archives
Published in
Visualization in Engineering, March 2016
DOI 10.1186/s40327-016-0036-8
Authors

Keyun Hu, Sheryl Staub-French, Melanie Tory, Madhav Prasad Nepal

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 42%
Student > Master 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 1 5%
Librarian 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Engineering 9 47%
Computer Science 4 21%
Arts and Humanities 1 5%
Environmental Science 1 5%
Social Sciences 1 5%
Other 2 11%
Unknown 1 5%

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 31 August 2016.
All research outputs
#4,423,017
of 8,307,635 outputs
Outputs from Visualization in Engineering
#10
of 20 outputs
Outputs of similar age
#138,775
of 251,640 outputs
Outputs of similar age from Visualization in Engineering
#1
of 1 outputs
Altmetric has tracked 8,307,635 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 10 of them.
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 251,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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