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A study on the friendship paradox – quantitative analysis and relationship with assortative mixing

Overview of attention for article published in Applied Network Science, September 2019
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About this Attention Score

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

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
Title
A study on the friendship paradox – quantitative analysis and relationship with assortative mixing
Published in
Applied Network Science, September 2019
DOI 10.1007/s41109-019-0190-8
Authors

Siddharth Pal, Feng Yu, Yitzchak Novick, Ananthram Swami, Amotz Bar-Noy

Twitter Demographics

The data shown below were collected from the profiles of 7 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 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 %
Professor 3 30%
Researcher 2 20%
Student > Bachelor 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Mathematics 2 20%
Computer Science 2 20%
Social Sciences 2 20%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 2 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2021.
All research outputs
#6,470,160
of 20,582,425 outputs
Outputs from Applied Network Science
#185
of 428 outputs
Outputs of similar age
#111,463
of 288,561 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 20,582,425 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 288,561 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 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