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Merging sub-networks in self-managed vehicular ad-hoc networks

Overview of attention for article published in Distributed and Parallel Databases, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
11 Mendeley
Title
Merging sub-networks in self-managed vehicular ad-hoc networks
Published in
Distributed and Parallel Databases, October 2014
DOI 10.1007/s10619-014-7159-5
Authors

Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Professor 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 8 73%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 January 2016.
All research outputs
#14,169,511
of 23,854,458 outputs
Outputs from Distributed and Parallel Databases
#100
of 128 outputs
Outputs of similar age
#125,928
of 259,003 outputs
Outputs of similar age from Distributed and Parallel Databases
#2
of 4 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 21st percentile – i.e., 21% 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 259,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.