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maxLik: A package for maximum likelihood estimation in R

Overview of attention for article published in Computational Statistics, September 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
365 Dimensions

Readers on

mendeley
255 Mendeley
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Title
maxLik: A package for maximum likelihood estimation in R
Published in
Computational Statistics, September 2010
DOI 10.1007/s00180-010-0217-1
Authors

Arne Henningsen, Ott Toomet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Spain 2 <1%
Colombia 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
France 1 <1%
Unknown 241 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 28%
Researcher 39 15%
Student > Master 23 9%
Professor > Associate Professor 16 6%
Student > Doctoral Student 15 6%
Other 38 15%
Unknown 53 21%
Readers by discipline Count As %
Economics, Econometrics and Finance 32 13%
Mathematics 31 12%
Agricultural and Biological Sciences 28 11%
Engineering 24 9%
Business, Management and Accounting 14 5%
Other 59 23%
Unknown 67 26%
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 01 June 2019.
All research outputs
#7,593,282
of 23,149,216 outputs
Outputs from Computational Statistics
#51
of 168 outputs
Outputs of similar age
#35,071
of 97,874 outputs
Outputs of similar age from Computational Statistics
#2
of 2 outputs
Altmetric has tracked 23,149,216 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 168 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 54% 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 97,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% 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.