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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Imaging metabolic heterogeneity in cancer
|
|---|---|
| Published in |
Molecular Cancer, January 2016
|
| DOI | 10.1186/s12943-015-0481-3 |
| Pubmed ID | |
| Authors |
Debanti Sengupta, Guillem Pratx |
| Abstract |
As our knowledge of cancer metabolism has increased, it has become apparent that cancer metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence of multiple and redundant metabolic pathways, altered microenvironmental conditions, and so on. As a result, methods in the clinic and beyond have been developed in order to image and study tumor metabolism in the in vivo and in vitro regimes. Both regimes provide unique advantages and challenges, and may be used to provide a picture of tumor metabolic heterogeneity that is spatially and temporally comprehensive. Taken together, these methods may hold the key to appropriate cancer diagnoses and treatments in the future. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 1 | 1% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 94 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 22% |
| Student > Ph. D. Student | 21 | 21% |
| Student > Bachelor | 11 | 11% |
| Student > Master | 10 | 10% |
| Professor > Associate Professor | 6 | 6% |
| Other | 10 | 10% |
| Unknown | 19 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 22% |
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Engineering | 12 | 12% |
| Medicine and Dentistry | 12 | 12% |
| Chemistry | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 24 | 24% |
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 07 January 2016.
All research outputs
#20,300,248
of 22,837,982 outputs
Outputs from Molecular Cancer
#1,481
of 1,721 outputs
Outputs of similar age
#330,512
of 393,663 outputs
Outputs of similar age from Molecular Cancer
#26
of 31 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% 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 393,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.