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Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters – the case of phage λ

Overview of attention for article published in BMC Bioinformatics, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
16 tweeters
facebook
2 Facebook pages
reddit
1 Redditor

Readers on

mendeley
12 Mendeley
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Title
Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters – the case of phage λ
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2909-z
Authors

Dace Ruklisa, Alvis Brazma, Karlis Cerans, Thomas Schlitt, Juris Viksna

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Master 2 17%
Professor > Associate Professor 2 17%
Researcher 2 17%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 3 25%
Veterinary Science and Veterinary Medicine 1 8%
Physics and Astronomy 1 8%
Unknown 3 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 June 2019.
All research outputs
#2,769,262
of 15,184,149 outputs
Outputs from BMC Bioinformatics
#1,186
of 5,572 outputs
Outputs of similar age
#69,478
of 264,844 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 46 outputs
Altmetric has tracked 15,184,149 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,572 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 264,844 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 73% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.