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A Mathematical Analysis of the Improving Sequence Effect for Monetary Rewards

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, November 2018
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2 X users

Citations

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Title
A Mathematical Analysis of the Improving Sequence Effect for Monetary Rewards
Published in
Frontiers in Applied Mathematics and Statistics, November 2018
DOI 10.3389/fams.2018.00055
Authors

Salvador Cruz Rambaud, María José Muñoz Torrecillas, Adriana Garcia

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 %
Student > Ph. D. Student 2 67%
Researcher 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Economics, Econometrics and Finance 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 December 2018.
All research outputs
#17,998,207
of 23,116,036 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#179
of 343 outputs
Outputs of similar age
#305,843
of 437,974 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#10
of 18 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 343 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 39th percentile – i.e., 39% 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 437,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.