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Automated self-organising vehicles for Barclays Cycle Hire

Overview of attention for article published in Memetic Computing, December 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Readers on

mendeley
5 Mendeley
Title
Automated self-organising vehicles for Barclays Cycle Hire
Published in
Memetic Computing, December 2012
DOI 10.1007/s12293-012-0101-3
Authors

Francois McDonald, Lin Li

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Bachelor 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Business, Management and Accounting 1 20%
Engineering 1 20%

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 26 March 2013.
All research outputs
#4,883,760
of 10,220,071 outputs
Outputs from Memetic Computing
#5
of 20 outputs
Outputs of similar age
#119,175
of 308,123 outputs
Outputs of similar age from Memetic Computing
#1
of 2 outputs
Altmetric has tracked 10,220,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 20 research outputs from this source. They receive a mean Attention Score of 1.3. This one scored the same or higher as 15 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 308,123 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 60% of its contemporaries.
We're also able to compare this research output to 2 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