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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Preclinical Childhood Sarcoma Models: Drug Efficacy Biomarker Identification and Validation
|
|---|---|
| Published in |
Frontiers in oncology, August 2015
|
| DOI | 10.3389/fonc.2015.00193 |
| Pubmed ID | |
| Authors |
Brian Geier, Dias Kurmashev, Raushan T. Kurmasheva, Peter J. Houghton |
| Abstract |
Over the past 35 years, cure rates for pediatric cancers have increased dramatically. However, it is clear that further dose intensification using cytotoxic agents or radiation therapy is not possible without enhancing morbidity and long-term effects. Consequently, novel, less genotoxic, agents are being sought to complement existing treatments. Here, we discuss preclinical human tumor xenograft models of pediatric cancers that may be used practically to identify novel agents for soft tissue and bone sarcomas, and "omics" approaches to identifying biomarkers that may identify sensitive and resistant tumors to these agents. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 31% |
| Researcher | 4 | 14% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 21% |
| Medicine and Dentistry | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Mathematics | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 7 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 January 2016.
All research outputs
#17,490,140
of 26,439,667 outputs
Outputs from Frontiers in oncology
#7,005
of 23,166 outputs
Outputs of similar age
#161,210
of 279,667 outputs
Outputs of similar age from Frontiers in oncology
#25
of 60 outputs
Altmetric has tracked 26,439,667 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,166 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 64% 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 279,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.