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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Systems Biology Approach to Reveal Putative Host-Derived Biomarkers of Periodontitis by Network Topology Characterization of MMP-REDOX/NO and Apoptosis Integrated Pathways
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, January 2016
|
| DOI | 10.3389/fcimb.2015.00102 |
| Pubmed ID | |
| Authors |
Fares Zeidán-Chuliá, Mervi Gürsoy, Ben-Hur Neves de Oliveira, Vural Özdemir, Eija Könönen, Ulvi K. Gürsoy |
| Abstract |
Periodontitis, a formidable global health burden, is a common chronic disease that destroys tooth-supporting tissues. Biomarkers of the early phase of this progressive disease are of utmost importance for global health. In this context, saliva represents a non-invasive biosample. By using systems biology tools, we aimed to (1) identify an integrated interactome between matrix metalloproteinase (MMP)-REDOX/nitric oxide (NO) and apoptosis upstream pathways of periodontal inflammation, and (2) characterize the attendant topological network properties to uncover putative biomarkers to be tested in saliva from patients with periodontitis. Hence, we first generated a protein-protein network model of interactions ("BIOMARK" interactome) by using the STRING 10 database, a search tool for the retrieval of interacting genes/proteins, with "Experiments" and "Databases" as input options and a confidence score of 0.400. Second, we determined the centrality values (closeness, stress, degree or connectivity, and betweenness) for the "BIOMARK" members by using the Cytoscape software. We found Ubiquitin C (UBC), Jun proto-oncogene (JUN), and matrix metalloproteinase-14 (MMP14) as the most central hub- and non-hub-bottlenecks among the 211 genes/proteins of the whole interactome. We conclude that UBC, JUN, and MMP14 are likely an optimal candidate group of host-derived biomarkers, in combination with oral pathogenic bacteria-derived proteins, for detecting periodontitis at its early phase by using salivary samples from patients. These findings therefore have broader relevance for systems medicine in global health as well. |
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 States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 5 | 12% |
| Professor > Associate Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 28% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Psychology | 3 | 7% |
| Computer Science | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 8 | 19% |
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 15 June 2016.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,133
of 8,068 outputs
Outputs of similar age
#279,482
of 400,957 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#31
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,068 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 25th percentile – i.e., 25% 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 400,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.