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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolvability of feed-forward loop architecture biases its abundance in transcription networks
|
|---|---|
| Published in |
BMC Systems Biology, January 2012
|
| DOI | 10.1186/1752-0509-6-7 |
| Pubmed ID | |
| Authors |
Stefanie Widder, Ricard Solé, Javier Macía |
| Abstract |
Transcription networks define the core of the regulatory machinery of cellular life and are largely responsible for information processing and decision making. At the small scale, interaction motifs have been characterized based on their abundance and some seemingly general patterns have been described. In particular, the abundance of different feed-forward loop motifs in gene regulatory networks displays systematic biases towards some particular topologies, which are much more common than others. The causative process of this pattern is still matter of debate. |
X Demographics
The data shown below were collected from the profiles of 25 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 States | 2 | 8% |
| United Kingdom | 2 | 8% |
| Spain | 2 | 8% |
| Germany | 2 | 8% |
| Italy | 1 | 4% |
| Mexico | 1 | 4% |
| Japan | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 13 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 60% |
| Members of the public | 9 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 12 | 23% |
| Professor > Associate Professor | 6 | 12% |
| Professor | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 35% |
| Biochemistry, Genetics and Molecular Biology | 12 | 23% |
| Computer Science | 4 | 8% |
| Mathematics | 2 | 4% |
| Linguistics | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 12 | 23% |
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 03 April 2018.
All research outputs
#2,732,957
of 25,374,647 outputs
Outputs from BMC Systems Biology
#62
of 1,132 outputs
Outputs of similar age
#20,542
of 251,411 outputs
Outputs of similar age from BMC Systems Biology
#4
of 27 outputs
Altmetric has tracked 25,374,647 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 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 94% 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 251,411 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 91% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.