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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, October 2011
|
| DOI | 10.1186/2043-9113-1-27 |
| Pubmed ID | |
| Authors |
Konstantina Dimitrakopoulou, Charalampos Tsimpouris, George Papadopoulos, Claudia Pommerenke, Esther Wilk, Kyriakos N Sgarbas, Klaus Schughart, Anastasios Bezerianos |
| Abstract |
The immune response to viral infection is a temporal process, represented by a dynamic and complex network of gene and protein interactions. Here, we present a reverse engineering strategy aimed at capturing the temporal evolution of the underlying Gene Regulatory Networks (GRN). The proposed approach will be an enabling step towards comprehending the dynamic behavior of gene regulation circuitry and mapping the network structure transitions in response to pathogen stimuli. |
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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Switzerland | 2 | 4% |
| United Kingdom | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 46 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 35% |
| Researcher | 9 | 17% |
| Student > Master | 5 | 10% |
| Professor | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 40% |
| Computer Science | 11 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Mathematics | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 8 | 15% |
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 21 October 2011.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Journal of Clinical Bioinformatics
#33
of 61 outputs
Outputs of similar age
#105,817
of 151,956 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#5
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% 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 151,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.