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Inferential Approaches for Network Analysis: AMEN for Latent Factor Models

Overview of attention for article published in Political Analysis, November 2018
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Mentioned by

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4 X users

Citations

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50 Dimensions

Readers on

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71 Mendeley
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Title
Inferential Approaches for Network Analysis: AMEN for Latent Factor Models
Published in
Political Analysis, November 2018
DOI 10.1017/pan.2018.50
Authors

Shahryar Minhas, Peter D. Hoff, Michael D. Ward

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 32%
Student > Master 11 15%
Researcher 6 8%
Student > Doctoral Student 5 7%
Professor > Associate Professor 4 6%
Other 10 14%
Unknown 12 17%
Readers by discipline Count As %
Social Sciences 26 37%
Mathematics 8 11%
Economics, Econometrics and Finance 5 7%
Business, Management and Accounting 5 7%
Agricultural and Biological Sciences 4 6%
Other 11 15%
Unknown 12 17%
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 12 April 2019.
All research outputs
#14,915,386
of 24,153,435 outputs
Outputs from Political Analysis
#429
of 538 outputs
Outputs of similar age
#236,601
of 445,169 outputs
Outputs of similar age from Political Analysis
#12
of 17 outputs
Altmetric has tracked 24,153,435 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 18th percentile – i.e., 18% 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 445,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.