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Data Visualization Methods for Transportation Agencies Visualizing Transportation Data

Overview of attention for book
Data Visualization Methods for Transportation Agencies Visualizing Transportation Data
The National Academies Press
Overall attention for this book
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

policy
1 policy source
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8 X users

Citations

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3 Dimensions

Readers on

mendeley
28 Mendeley
Title
Data Visualization Methods for Transportation Agencies Visualizing Transportation Data
Published by
The National Academies Press, April 2017
DOI 10.17226/24755
ISBNs
978-0-309-45848-1, 978-0-309-45849-8, 978-0-309-45850-4
Authors

Higgins, Nathan, Basile, Ronald, Hecke, Samuel Van, Zissman, Joseph, Gilkeson, Scott, Nathan Higgins, Ronald Basile, Samuel Van Hecke, Joseph Zissman, and Scott Gilkeson; National Cooperative Highway Research Program; Transportation Research Board; National Academies of Sciences, Engineering, and Medicine, National Academies of Sciences, Engineering, and Medicine, Nathan Higgins, Ronald Basile, Samuel Van Hecke, Joseph Zissman, Scott Gilkeson

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Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 4%
United States 1 4%
Brazil 1 4%
Unknown 25 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 32%
Student > Ph. D. Student 6 21%
Professor 2 7%
Other 1 4%
Lecturer 1 4%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Engineering 11 39%
Social Sciences 6 21%
Computer Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Physics and Astronomy 1 4%
Other 1 4%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 April 2017.
All research outputs
#4,541,095
of 26,853,183 outputs
Outputs from The National Academies Press
#3,267
of 10,370 outputs
Outputs of similar age
#71,342
of 328,466 outputs
Outputs of similar age from The National Academies Press
#43
of 90 outputs
Altmetric has tracked 26,853,183 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 68% 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 328,466 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 78% of its contemporaries.
We're also able to compare this research output to 90 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 52% of its contemporaries.