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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel insights into obesity and diabetes through genome-scale metabolic modeling
|
|---|---|
| Published in |
Frontiers in Physiology, January 2013
|
| DOI | 10.3389/fphys.2013.00092 |
| Pubmed ID | |
| Authors |
Leif Väremo, Intawat Nookaew, Jens Nielsen |
| Abstract |
The growing prevalence of metabolic diseases, such as obesity and diabetes, are putting a high strain on global healthcare systems as well as increasing the demand for efficient treatment strategies. More than 360 million people worldwide are suffering from type 2 diabetes (T2D) and, with the current trends, the projection is that 10% of the global adult population will be affected by 2030. In light of the systemic properties of metabolic diseases as well as the interconnected nature of metabolism, it is necessary to begin taking a holistic approach to study these diseases. Human genome-scale metabolic models (GEMs) are topological and mathematical representations of cell metabolism and have proven to be valuable tools in the area of systems biology. Successful applications of GEMs include the process of gaining further biological and mechanistic understanding of diseases, finding potential biomarkers, and identifying new drug targets. This review will focus on the modeling of human metabolism in the field of obesity and diabetes, showing its vast range of applications of clinical importance as well as point out future challenges. |
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 % |
|---|---|---|
| Switzerland | 2 | 67% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 2 | 2% |
| Switzerland | 1 | <1% |
| Hungary | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 107 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 30% |
| Student > Master | 17 | 15% |
| Researcher | 15 | 13% |
| Professor > Associate Professor | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 30% |
| Biochemistry, Genetics and Molecular Biology | 23 | 20% |
| Engineering | 14 | 12% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 5 | 4% |
| Other | 10 | 9% |
| Unknown | 19 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 July 2018.
All research outputs
#14,751,991
of 22,708,120 outputs
Outputs from Frontiers in Physiology
#5,635
of 13,524 outputs
Outputs of similar age
#175,277
of 280,717 outputs
Outputs of similar age from Frontiers in Physiology
#153
of 398 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 280,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.