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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Bacterial molecular networks: bridging the gap between functional genomics and dynamical modelling.
|
|---|---|
| Chapter number | 1 |
| Book title |
Bacterial Molecular Networks
|
| Published in |
Methods in molecular biology, December 2011
|
| DOI | 10.1007/978-1-61779-361-5_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-360-8, 978-1-61779-361-5
|
| Authors |
van Helden J, Toussaint A, Thieffry D, Jacques van Helden, Ariane Toussaint, Denis Thieffry, Helden, Jacques van, Toussaint, Ariane, Thieffry, Denis |
| Abstract |
This introductory review synthesizes the contents of the volume Bacterial Molecular Networks of the series Methods in Molecular Biology. This volume gathers 9 reviews and 16 method chapters describing computational protocols for the analysis of metabolic pathways, protein interaction networks, and regulatory networks. Each protocol is documented by concrete case studies dedicated to model bacteria or interacting populations. Altogether, the chapters provide a representative overview of state-of-the-art methods for data integration and retrieval, network visualization, graph analysis, and dynamical modelling. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Greece | 1 | 4% |
| France | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 20 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 29% |
| Student > Ph. D. Student | 6 | 25% |
| Researcher | 6 | 25% |
| Professor | 4 | 17% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 50% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Veterinary Science and Veterinary Medicine | 2 | 8% |
| Computer Science | 2 | 8% |
| Psychology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 March 2012.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from Methods in molecular biology
#7,813
of 13,024 outputs
Outputs of similar age
#195,773
of 240,852 outputs
Outputs of similar age from Methods in molecular biology
#314
of 463 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,024 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 240,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 463 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.