↓ Skip to main content

Iterated ultrapowers for the masses

Overview of attention for article published in Archive for Mathematical Logic, October 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Iterated ultrapowers for the masses
Published in
Archive for Mathematical Logic, October 2017
DOI 10.1007/s00153-017-0592-1
Authors

Ali Enayat, Matt Kaufmann, Zachiri McKenzie

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 October 2017.
All research outputs
#12,761,723
of 23,005,189 outputs
Outputs from Archive for Mathematical Logic
#64
of 145 outputs
Outputs of similar age
#146,177
of 322,951 outputs
Outputs of similar age from Archive for Mathematical Logic
#1
of 3 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 55% 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 322,951 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 54% 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