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Subatomic Natural Deduction for a Naturalistic First-Order Language with Non-Primitive Identity

Overview of attention for article published in Journal of Logic, Language and Information, April 2016
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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3 Mendeley
Title
Subatomic Natural Deduction for a Naturalistic First-Order Language with Non-Primitive Identity
Published in
Journal of Logic, Language and Information, April 2016
DOI 10.1007/s10849-016-9238-7
Authors

Bartosz Więckowski

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Philosophy 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
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 04 July 2016.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Logic, Language and Information
#94
of 170 outputs
Outputs of similar age
#183,583
of 302,709 outputs
Outputs of similar age from Journal of Logic, Language and Information
#1
of 3 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 30th percentile – i.e., 30% 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 302,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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