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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular Heterogeneity in Glioblastoma: Potential Clinical Implications
|
|---|---|
| Published in |
Frontiers in oncology, March 2015
|
| DOI | 10.3389/fonc.2015.00055 |
| Pubmed ID | |
| Authors |
Nicole Renee Parker, Peter Khong, Jonathon Fergus Parkinson, Viive Maarika Howell, Helen Ruth Wheeler |
| Abstract |
Glioblastomas, (grade 4 astrocytomas), are aggressive primary brain tumors characterized by histopathological heterogeneity. High-resolution sequencing technologies have shown that these tumors also feature significant inter-tumoral molecular heterogeneity. Molecular subtyping of these tumors has revealed several predictive and prognostic biomarkers. However, intra-tumoral heterogeneity may undermine the use of single biopsy analysis for determining tumor genotype and has implications for potential targeted therapies. The clinical relevance and theories of tumoral molecular heterogeneity in glioblastoma are discussed. |
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 % |
|---|---|---|
| Unknown | 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 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 253 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 22% |
| Researcher | 33 | 13% |
| Student > Master | 33 | 13% |
| Student > Bachelor | 28 | 11% |
| Student > Doctoral Student | 15 | 6% |
| Other | 38 | 15% |
| Unknown | 56 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 61 | 23% |
| Medicine and Dentistry | 51 | 20% |
| Agricultural and Biological Sciences | 38 | 15% |
| Neuroscience | 14 | 5% |
| Engineering | 10 | 4% |
| Other | 29 | 11% |
| Unknown | 57 | 22% |
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 21 March 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Frontiers in oncology
#15,918
of 22,416 outputs
Outputs of similar age
#233,343
of 271,799 outputs
Outputs of similar age from Frontiers in oncology
#75
of 92 outputs
Altmetric has tracked 25,374,917 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 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. 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 271,799 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 92 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.