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Dyads, triads, and tetrads: a multivariate simulation approach to uncovering network motifs in social graphs

Overview of attention for article published in Applied Network Science, August 2021
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Mentioned by

twitter
2 X users

Citations

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9 Dimensions

Readers on

mendeley
17 Mendeley
Title
Dyads, triads, and tetrads: a multivariate simulation approach to uncovering network motifs in social graphs
Published in
Applied Network Science, August 2021
DOI 10.1007/s41109-021-00403-5
Authors

Diane Felmlee, Cassie McMillan, Roger Whitaker

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Researcher 2 12%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 8 47%
Readers by discipline Count As %
Computer Science 2 12%
Social Sciences 2 12%
Linguistics 1 6%
Agricultural and Biological Sciences 1 6%
Unspecified 1 6%
Other 0 0%
Unknown 10 59%
Attention Score in Context

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 01 September 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Applied Network Science
#395
of 513 outputs
Outputs of similar age
#292,961
of 430,033 outputs
Outputs of similar age from Applied Network Science
#18
of 25 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 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 8th percentile – i.e., 8% 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 430,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.