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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Model-based clustering reveals vitamin D dependent multi-centrality hubs in a network of vitamin-related proteins
|
|---|---|
| Published in |
BMC Systems Biology, December 2011
|
| DOI | 10.1186/1752-0509-5-195 |
| Pubmed ID | |
| Authors |
Thanh-Phuong Nguyen, Marco Scotti, Melissa J Morine, Corrado Priami |
| Abstract |
Nutritional systems biology offers the potential for comprehensive predictions that account for all metabolic changes with the intricate biological organization and the multitudinous interactions between the cellular proteins. Protein-protein interaction (PPI) networks can be used for an integrative description of molecular processes. Although widely adopted in nutritional systems biology, these networks typically encompass a single category of functional interaction (i.e., metabolic, regulatory or signaling) or nutrient. Incorporating multiple nutrients and functional interaction categories under an integrated framework represents an informative approach for gaining system level insight on nutrient metabolism. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 4 | 9% |
| United States | 3 | 7% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Ireland | 1 | 2% |
| Mexico | 1 | 2% |
| India | 1 | 2% |
| Unknown | 33 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 31% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 5 | 11% |
| Professor | 4 | 9% |
| Professor > Associate Professor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 49% |
| Computer Science | 5 | 11% |
| Environmental Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 8 | 18% |
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 20 January 2012.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#162,316
of 239,890 outputs
Outputs of similar age from BMC Systems Biology
#38
of 60 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 32nd percentile – i.e., 32% 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 239,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.