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Network motifs: structure does not determine function

Overview of attention for article published in BMC Genomics, May 2006
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
17 tweeters
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
267 Mendeley
citeulike
9 CiteULike
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Title
Network motifs: structure does not determine function
Published in
BMC Genomics, May 2006
DOI 10.1186/1471-2164-7-108
Pubmed ID
Authors

Piers J Ingram, Michael PH Stumpf, Jaroslav Stark

Abstract

A number of publications have recently examined the occurrence and properties of the feed-forward motif in a variety of networks, including those that are of interest in genome biology, such as gene networks. The present work looks in some detail at the dynamics of the bi-fan motif, using systems of ordinary differential equations to model the populations of transcription factors, mRNA and protein, with the aim of extending our understanding of what appear to be important building blocks of gene network structure.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 3 1%
United Kingdom 3 1%
Japan 3 1%
Brazil 3 1%
France 2 <1%
Belarus 1 <1%
Sweden 1 <1%
Ghana 1 <1%
Other 10 4%
Unknown 236 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 28%
Researcher 68 25%
Student > Master 21 8%
Student > Bachelor 19 7%
Professor > Associate Professor 18 7%
Other 43 16%
Unknown 23 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 39%
Computer Science 29 11%
Biochemistry, Genetics and Molecular Biology 27 10%
Physics and Astronomy 20 7%
Engineering 17 6%
Other 38 14%
Unknown 33 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 October 2021.
All research outputs
#1,898,013
of 19,180,943 outputs
Outputs from BMC Genomics
#618
of 9,725 outputs
Outputs of similar age
#24,231
of 222,671 outputs
Outputs of similar age from BMC Genomics
#2
of 23 outputs
Altmetric has tracked 19,180,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,725 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 93% 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 222,671 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 89% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.