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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The evolution of genome-scale models of cancer metabolism
|
|---|---|
| Published in |
Frontiers in Physiology, January 2013
|
| DOI | 10.3389/fphys.2013.00237 |
| Pubmed ID | |
| Authors |
Nathan E. Lewis, Alyaa M. Abdel-Haleem |
| Abstract |
The importance of metabolism in cancer is becoming increasingly apparent with the identification of metabolic enzyme mutations and the growing awareness of the influence of metabolism on signaling, epigenetic markers, and transcription. However, the complexity of these processes has challenged our ability to make sense of the metabolic changes in cancer. Fortunately, constraint-based modeling, a systems biology approach, now enables one to study the entirety of cancer metabolism and simulate basic phenotypes. With the newness of this field, there has been a rapid evolution of both the scope of these models and their applications. Here we review the various constraint-based models built for cancer metabolism and how their predictions are shedding new light on basic cancer phenotypes, elucidating pathway differences between tumors, and dicovering putative anti-cancer targets. As the field continues to evolve, the scope of these genome-scale cancer models must expand beyond central metabolism to address questions related to the diverse processes contributing to tumor development and metastasis. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 14% |
| Canada | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Hungary | 1 | <1% |
| Thailand | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Venezuela, Bolivarian Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 190 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 27% |
| Researcher | 40 | 20% |
| Student > Master | 26 | 13% |
| Student > Bachelor | 17 | 8% |
| Student > Doctoral Student | 13 | 6% |
| Other | 33 | 16% |
| Unknown | 18 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 28% |
| Biochemistry, Genetics and Molecular Biology | 54 | 27% |
| Engineering | 14 | 7% |
| Computer Science | 14 | 7% |
| Medicine and Dentistry | 13 | 6% |
| Other | 28 | 14% |
| Unknown | 23 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 May 2020.
All research outputs
#3,020,797
of 22,719,618 outputs
Outputs from Frontiers in Physiology
#1,599
of 13,531 outputs
Outputs of similar age
#32,558
of 280,759 outputs
Outputs of similar age from Frontiers in Physiology
#53
of 398 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 88% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
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 done well, scoring higher than 86% of its contemporaries.