↓ Skip to main content

Multimodal transport information sharing platform with mixed time window constraints based on big data

Overview of attention for article published in Journal of Cloud Computing, February 2020
Altmetric Badge

Mentioned by

twitter
1 tweeter

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multimodal transport information sharing platform with mixed time window constraints based on big data
Published in
Journal of Cloud Computing, February 2020
DOI 10.1186/s13677-020-0153-8
Authors

Liqun Ding

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Bachelor 2 20%
Student > Doctoral Student 1 10%
Other 1 10%
Student > Ph. D. Student 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 5 50%
Computer Science 2 20%
Business, Management and Accounting 1 10%
Unknown 2 20%

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 08 February 2020.
All research outputs
#12,404,714
of 15,606,212 outputs
Outputs from Journal of Cloud Computing
#115
of 169 outputs
Outputs of similar age
#206,585
of 290,517 outputs
Outputs of similar age from Journal of Cloud Computing
#1
of 1 outputs
Altmetric has tracked 15,606,212 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 1st percentile – i.e., 1% 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 290,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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