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Mendeley readers
Attention Score in Context
| Title |
An approach to evaluate the topological significance of motifs and other patterns in regulatory networks
|
|---|---|
| Published in |
BMC Systems Biology, May 2009
|
| DOI | 10.1186/1752-0509-3-53 |
| Pubmed ID | |
| Authors |
Björn Goemann, Edgar Wingender, Anatolij P Potapov |
| Abstract |
The identification of network motifs as statistically over-represented topological patterns has become one of the most promising topics in the analysis of complex networks. The main focus is commonly made on how they operate by means of their internal organization. Yet, their contribution to a network's global architecture is poorly understood. However, this requires switching from the abstract view of a topological pattern to the level of its instances. Here, we show how a recently proposed metric, the pairwise disconnectivity index, can be adapted to survey if and which kind of topological patterns and their instances are most important for sustaining the connectivity within a network. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Portugal | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 22 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 36% |
| Researcher | 8 | 32% |
| Professor | 3 | 12% |
| Professor > Associate Professor | 3 | 12% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 48% |
| Engineering | 5 | 20% |
| Computer Science | 3 | 12% |
| Mathematics | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 October 2011.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#33,758
of 97,098 outputs
Outputs of similar age from BMC Systems Biology
#3
of 6 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 97,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.