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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the contributions of topological features to transcriptional regulatory network robustness
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-318 |
| Pubmed ID | |
| Authors |
Faiyaz Al Zamal, Derek Ruths |
| Abstract |
Because biological networks exhibit a high-degree of robustness, a systemic understanding of their architecture and function requires an appraisal of the network design principles that confer robustness. In this project, we conduct a computational study of the contribution of three degree-based topological properties (transcription factor-target ratio, degree distribution, cross-talk suppression) and their combinations on the robustness of transcriptional regulatory networks. We seek to quantify the relative degree of robustness conferred by each property (and combination) and also to determine the extent to which these properties alone can explain the robustness observed in transcriptional networks. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 4% |
| Brazil | 1 | 2% |
| Netherlands | 1 | 2% |
| Argentina | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 48 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 28% |
| Professor > Associate Professor | 8 | 14% |
| Student > Ph. D. Student | 7 | 12% |
| Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 12 | 21% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 40% |
| Computer Science | 9 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Engineering | 5 | 9% |
| Unspecified | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 September 2023.
All research outputs
#16,168,289
of 25,554,853 outputs
Outputs from BMC Bioinformatics
#5,028
of 7,718 outputs
Outputs of similar age
#179,357
of 286,457 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 102 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,718 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 286,457 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.