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Exact analysis of summary statistics for continuous-time discrete-state Markov processes on networks using graph-automorphism lumping

Overview of attention for article published in Applied Network Science, November 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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9 Dimensions

Readers on

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9 Mendeley
Title
Exact analysis of summary statistics for continuous-time discrete-state Markov processes on networks using graph-automorphism lumping
Published in
Applied Network Science, November 2019
DOI 10.1007/s41109-019-0206-4
Authors

Jonathan A. Ward, Martín López-García

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 33%
Professor 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Physics and Astronomy 2 22%
Sports and Recreations 1 11%
Chemistry 1 11%
Engineering 1 11%
Unknown 4 44%
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 13 February 2020.
All research outputs
#15,545,634
of 23,189,371 outputs
Outputs from Applied Network Science
#368
of 510 outputs
Outputs of similar age
#273,771
of 457,770 outputs
Outputs of similar age from Applied Network Science
#27
of 45 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 27th percentile – i.e., 27% 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 457,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.