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The best of both worlds: linear functional programming without compromise

Overview of attention for article published in arXiv, September 2016
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Mentioned by

twitter
1 X user
reddit
1 Redditor

Readers on

mendeley
16 Mendeley
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Article details
Title
The best of both worlds: linear functional programming without compromise
Published in
arXiv, September 2016
DOI 10.1145/2951913.2951925
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 25%
Other 3 19%
Professor 2 13%
Lecturer > Senior Lecturer 1 6%
Student > Bachelor 1 6%
Other 3 19%
Unknown 2 13%
Readers by discipline
Readers by discipline Count As %
Computer Science 13 81%
Unknown 3 19%
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 01 June 2020.
All research outputs
#26,596,909
of 32,075,850 outputs
Outputs from arXiv
#820,245
of 1,364,251 outputs
Outputs of similar age
#256,028
of 325,926 outputs
Outputs of similar age from arXiv
#7,330
of 12,098 outputs
Altmetric has tracked 32,075,850 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,364,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 22nd percentile – i.e., 22% 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 325,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12,098 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.