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Bayesian non-negative factor analysis for reconstructing transcription factor mediated regulatory networks

Overview of attention for article published in Proteome Science, October 2011
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 190)
  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Bayesian non-negative factor analysis for reconstructing transcription factor mediated regulatory networks
Published in
Proteome Science, October 2011
DOI 10.1186/1477-5956-9-s1-s9
Pubmed ID
Authors

Jia Meng, Jianqiu (Michelle) Zhang, Yidong Chen, Yufei Huang

Abstract

Transcriptional regulation by transcription factor (TF) controls the time and abundance of mRNA transcription. Due to the limitation of current proteomics technologies, large scale measurements of protein level activities of TFs is usually infeasible, making computational reconstruction of transcriptional regulatory network a difficult task.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 3 30%
Unspecified 1 10%
Unknown 3 30%
Readers by discipline Count As %
Engineering 2 20%
Computer Science 2 20%
Unspecified 1 10%
Medicine and Dentistry 1 10%
Agricultural and Biological Sciences 1 10%
Other 0 0%
Unknown 3 30%
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 05 September 2018.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Proteome Science
#40
of 190 outputs
Outputs of similar age
#46,156
of 136,571 outputs
Outputs of similar age from Proteome Science
#3
of 5 outputs
Altmetric has tracked 22,790,780 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 190 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 136,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.