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Comparing Parallel Functional Languages: Programming and Performance

Overview of attention for article published in Higher-Order & Symbolic Computation, September 2003
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1 X user

Citations

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Readers on

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51 Mendeley
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1 CiteULike
Title
Comparing Parallel Functional Languages: Programming and Performance
Published in
Higher-Order & Symbolic Computation, September 2003
DOI 10.1023/a:1025641323400
Authors

H.-W. Loidl, F. Rubio, N. Scaife, K. Hammond, S. Horiguchi, U. Klusik, R. Loogen, G.J. Michaelson, R. Peña, S. Priebe, Á.J. Rebón, P.W. Trinder

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

Geographical breakdown

Country Count As %
Brazil 2 4%
Portugal 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Bachelor 11 22%
Other 6 12%
Student > Master 6 12%
Professor 6 12%
Other 5 10%
Unknown 4 8%
Readers by discipline Count As %
Computer Science 37 73%
Engineering 3 6%
Mathematics 2 4%
Earth and Planetary Sciences 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 5 10%
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 31 January 2015.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Higher-Order & Symbolic Computation
#51
of 58 outputs
Outputs of similar age
#51,184
of 53,936 outputs
Outputs of similar age from Higher-Order & Symbolic Computation
#2
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 58 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 3rd percentile – i.e., 3% 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 53,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.