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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 25% |
| United States | 4 | 25% |
| Australia | 2 | 13% |
| Belgium | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 8 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 283 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% |
| Japan | 3 | 1% |
| United Kingdom | 3 | 1% |
| Brazil | 3 | 1% |
| France | 2 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 10 | 4% |
| Unknown | 252 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 28% |
| Researcher | 71 | 25% |
| Student > Master | 24 | 8% |
| Student > Bachelor | 20 | 7% |
| Professor > Associate Professor | 19 | 7% |
| Other | 44 | 16% |
| Unknown | 27 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 103 | 36% |
| Biochemistry, Genetics and Molecular Biology | 31 | 11% |
| Computer Science | 30 | 11% |
| Physics and Astronomy | 21 | 7% |
| Engineering | 21 | 7% |
| Other | 42 | 15% |
| Unknown | 35 | 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
#2,429,303
of 22,705,019 outputs
Outputs from BMC Genomics
#785
of 10,624 outputs
Outputs of similar age
#4,741
of 65,863 outputs
Outputs of similar age from BMC Genomics
#4
of 35 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 65,863 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.