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A Markov chain Monte Carlo (MCMC) methodology with bootstrap percentile estimates for predicting presidential election results in Ghana

Overview of attention for article published in SpringerPlus, September 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
20 Mendeley
Title
A Markov chain Monte Carlo (MCMC) methodology with bootstrap percentile estimates for predicting presidential election results in Ghana
Published in
SpringerPlus, September 2015
DOI 10.1186/s40064-015-1310-2
Pubmed ID
Authors

Ezekiel N. N. Nortey, Theophilus Ansah-Narh, Richard Asah-Asante, Richard Minkah

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Student > Bachelor 3 15%
Researcher 2 10%
Student > Master 2 10%
Lecturer > Senior Lecturer 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Mathematics 5 25%
Computer Science 4 20%
Arts and Humanities 3 15%
Nursing and Health Professions 3 15%
Social Sciences 2 10%
Other 2 10%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 October 2018.
All research outputs
#6,227,402
of 23,106,390 outputs
Outputs from SpringerPlus
#372
of 1,854 outputs
Outputs of similar age
#74,189
of 273,586 outputs
Outputs of similar age from SpringerPlus
#30
of 125 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 79% 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 273,586 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 72% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.