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Bayesian mixture regression analysis for regulation of Pluripotency in ES cells

Overview of attention for article published in BMC Bioinformatics, January 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Bayesian mixture regression analysis for regulation of Pluripotency in ES cells
Published in
BMC Bioinformatics, January 2020
DOI 10.1186/s12859-019-3331-2
Pubmed ID
Authors

Mehran Aflakparast, Geert Geeven, Mathisca C.M. de Gunst

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Other 1 6%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Researcher 1 6%
Other 0 0%
Unknown 10 63%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Economics, Econometrics and Finance 1 6%
Neuroscience 1 6%
Unknown 11 69%
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 January 2020.
All research outputs
#15,593,944
of 23,184,056 outputs
Outputs from BMC Bioinformatics
#5,436
of 7,345 outputs
Outputs of similar age
#274,699
of 457,060 outputs
Outputs of similar age from BMC Bioinformatics
#125
of 216 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 457,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.