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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics
|
|---|---|
| Published in |
Metabolomics, August 2016
|
| DOI | 10.1007/s11306-016-1093-7 |
| Pubmed ID | |
| Authors |
Emily G. Armitage, Andrew D. Southam |
| Abstract |
Cellular metabolism is altered during cancer initiation and progression, which allows cancer cells to increase anabolic synthesis, avoid apoptosis and adapt to low nutrient and oxygen availability. The metabolic nature of cancer enables patient cancer status to be monitored by metabolomics and lipidomics. Additionally, monitoring metabolic status of patients or biological models can be used to greater understand the action of anticancer therapeutics. Discuss how metabolomics and lipidomics can be used to (i) identify metabolic biomarkers of cancer and (ii) understand the mechanism-of-action of anticancer therapies. Discuss considerations that can maximize the clinical value of metabolic cancer biomarkers including case-control, prognostic and longitudinal study designs. A literature search of the current relevant primary research was performed. Metabolomics and lipidomics can identify metabolic signatures that associate with cancer diagnosis, prognosis and disease progression. Discriminatory metabolites were most commonly linked to lipid or energy metabolism. Case-control studies outnumbered prognostic and longitudinal approaches. Prognostic studies were able to correlate metabolic features with future cancer risk, whereas longitudinal studies were most effective for studying cancer progression. Metabolomics and lipidomics can help to understand the mechanism-of-action of anticancer therapeutics and mechanisms of drug resistance. Metabolomics and lipidomics can be used to identify biomarkers associated with cancer and to better understand anticancer therapies. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Vietnam | 1 | 6% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 1% |
| Austria | 1 | <1% |
| Unknown | 163 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 20% |
| Researcher | 30 | 18% |
| Student > Master | 22 | 13% |
| Student > Bachelor | 16 | 10% |
| Student > Doctoral Student | 13 | 8% |
| Other | 29 | 17% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 20% |
| Chemistry | 28 | 17% |
| Agricultural and Biological Sciences | 24 | 14% |
| Medicine and Dentistry | 19 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 8% |
| Other | 15 | 9% |
| Unknown | 32 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 29 April 2017.
All research outputs
#3,552,862
of 22,882,389 outputs
Outputs from Metabolomics
#176
of 1,296 outputs
Outputs of similar age
#57,366
of 313,450 outputs
Outputs of similar age from Metabolomics
#5
of 50 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 313,450 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 81% of its contemporaries.
We're also able to compare this research output to 50 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 90% of its contemporaries.