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DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data

Overview of attention for article published in BMC Systems Biology, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
4 X users
patent
2 patents
googleplus
1 Google+ user

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
238 Mendeley
citeulike
5 CiteULike
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Title
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data
Published in
BMC Systems Biology, August 2012
DOI 10.1186/1752-0509-6-104
Pubmed ID
Authors

Marcel H Schulz, William E Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
Germany 3 1%
United Kingdom 2 <1%
France 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Japan 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 219 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 34%
Researcher 65 27%
Student > Master 30 13%
Professor 12 5%
Professor > Associate Professor 8 3%
Other 21 9%
Unknown 20 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 39%
Biochemistry, Genetics and Molecular Biology 56 24%
Computer Science 29 12%
Medicine and Dentistry 9 4%
Engineering 7 3%
Other 20 8%
Unknown 25 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 April 2022.
All research outputs
#3,798,611
of 25,373,627 outputs
Outputs from BMC Systems Biology
#95
of 1,132 outputs
Outputs of similar age
#24,668
of 174,034 outputs
Outputs of similar age from BMC Systems Biology
#5
of 38 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 174,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.