| Title |
A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue
|
|---|---|
| Published in |
BMC Systems Biology, October 2011
|
| DOI | 10.1186/1752-0509-5-168 |
| Pubmed ID | |
| Authors |
Walter K Schlage, Jurjen W Westra, Stephan Gebel, Natalie L Catlett, Carole Mathis, Brian P Frushour, Arnd Hengstermann, Aaron Van Hooser, Carine Poussin, Ben Wong, Michael Lietz, Jennifer Park, David Drubin, Emilija Veljkovic, Manuel C Peitsch, Julia Hoeng, Renee Deehan |
| Abstract |
Humans and other organisms are equipped with a set of responses that can prevent damage from exposure to a multitude of endogenous and environmental stressors. If these stress responses are overwhelmed, this can result in pathogenesis of diseases, which is reflected by an increased development of, e.g., pulmonary and cardiac diseases in humans exposed to chronic levels of environmental stress, including inhaled cigarette smoke (CS). Systems biology data sets (e.g., transcriptomics, phosphoproteomics, metabolomics) could enable comprehensive investigation of the biological impact of these stressors. However, detailed mechanistic networks are needed to determine which specific pathways are activated in response to different stressors and to drive the qualitative and eventually quantitative assessment of these data. A current limiting step in this process is the availability of detailed mechanistic networks that can be used as an analytical substrate. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Canada | 1 | 1% |
| Germany | 1 | 1% |
| Puerto Rico | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 67 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 17 | 23% |
| Student > Master | 8 | 11% |
| Other | 6 | 8% |
| Professor > Associate Professor | 6 | 8% |
| Other | 11 | 15% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 33% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Computer Science | 7 | 10% |
| Engineering | 6 | 8% |
| Medicine and Dentistry | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 June 2013.
All research outputs
#3,757,724
of 22,655,397 outputs
Outputs from BMC Systems Biology
#111
of 1,142 outputs
Outputs of similar age
#21,604
of 139,261 outputs
Outputs of similar age from BMC Systems Biology
#3
of 41 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% of its peers.
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We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.