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Inference of regulatory networks with a convergence improved MCMC sampler

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

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
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Title
Inference of regulatory networks with a convergence improved MCMC sampler
Published in
BMC Bioinformatics, September 2015
DOI 10.1186/s12859-015-0734-6
Pubmed ID
Authors

Nilzair B. Agostinho, Karina S. Machado, Adriano V. Werhli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Doctoral Student 2 11%
Researcher 2 11%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 4 22%
Unknown 4 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Computer Science 5 28%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 22%
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 31 May 2018.
All research outputs
#7,657,585
of 23,312,088 outputs
Outputs from BMC Bioinformatics
#3,075
of 7,383 outputs
Outputs of similar age
#93,933
of 275,801 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 144 outputs
Altmetric has tracked 23,312,088 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 7,383 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 275,801 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 56% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.