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Valhallolz: Medievalist humor on the Internet

Overview of attention for article published in postmedieval, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
Title
Valhallolz: Medievalist humor on the Internet
Published in
postmedieval, June 2014
DOI 10.1057/pmed.2014.14
Authors

Kim Wilkins

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Researcher 1 20%
Lecturer > Senior Lecturer 1 20%
Student > Postgraduate 1 20%
Readers by discipline Count As %
Arts and Humanities 3 60%
Linguistics 1 20%
Social Sciences 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 July 2022.
All research outputs
#6,300,918
of 24,003,070 outputs
Outputs from postmedieval
#77
of 229 outputs
Outputs of similar age
#56,621
of 232,556 outputs
Outputs of similar age from postmedieval
#1
of 3 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 229 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 65% 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 232,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 3 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