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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic analysis of 18F-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumors
|
|---|---|
| Published in |
BMC Cancer, February 2014
|
| DOI | 10.1186/1471-2407-14-130 |
| Pubmed ID | |
| Authors |
Bianca AW Hoeben, Maud HW Starmans, Ralph TH Leijenaar, Ludwig J Dubois, Albert J van der Kogel, Johannes HAM Kaanders, Paul C Boutros, Philippe Lambin, Johan Bussink |
| Abstract |
Quantification of molecular cell processes is important for prognostication and treatment individualization of head and neck cancer (HNC). However, individual tumor comparison can show discord in upregulation similarities when analyzing multiple biological mechanisms. Elaborate tumor characterization, integrating multiple pathways reflecting intrinsic and microenvironmental properties, may be beneficial to group most uniform tumors for treatment modification schemes. The goal of this study was to systematically analyze if immunohistochemical (IHC) assessment of molecular markers, involved in treatment resistance, and 18F-FDG PET parameters could accurately distinguish separate HNC tumors. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 65 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 8 | 12% |
| Other | 7 | 10% |
| Student > Master | 6 | 9% |
| Other | 12 | 18% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 41% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Engineering | 4 | 6% |
| Computer Science | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 14 | 21% |
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 02 May 2014.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from BMC Cancer
#5,419
of 8,275 outputs
Outputs of similar age
#160,882
of 221,197 outputs
Outputs of similar age from BMC Cancer
#99
of 141 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,275 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% 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 221,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.