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A data-driven quantitative assessment model for taxi industry: the scope of business ecosystem’s health

Overview of attention for article published in European Transport Research Review, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
70 Mendeley
Title
A data-driven quantitative assessment model for taxi industry: the scope of business ecosystem’s health
Published in
European Transport Research Review, April 2017
DOI 10.1007/s12544-017-0241-0
Authors

Yong Zhang, Miner Zhong, Yunjian Jiang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Doctoral Student 10 14%
Student > Ph. D. Student 10 14%
Researcher 6 9%
Student > Postgraduate 6 9%
Other 9 13%
Unknown 17 24%
Readers by discipline Count As %
Engineering 13 19%
Business, Management and Accounting 10 14%
Computer Science 6 9%
Social Sciences 5 7%
Environmental Science 3 4%
Other 12 17%
Unknown 21 30%
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 29 November 2022.
All research outputs
#7,611,089
of 23,206,358 outputs
Outputs from European Transport Research Review
#109
of 273 outputs
Outputs of similar age
#119,816
of 310,949 outputs
Outputs of similar age from European Transport Research Review
#13
of 16 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 51% 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 310,949 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.