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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immune monitoring technology primer: clinical validation for predictive markers
|
|---|---|
| Published in |
Journal for Immunotherapy of Cancer, October 2015
|
| DOI | 10.1186/s40425-015-0086-9 |
| Pubmed ID | |
| Authors |
Kevin K. Dobbin |
| Abstract |
Recent biotechnological developments have resulted in increasing interest in immunology biomarkers. These biomarkers have potential clinical utility in the near future as predictors of treatment response. Hence, clinical validation of these predictive markers is critical. The process of clinically validating a predictive biomarker is reviewed. Validation of a predictive biomarker requires quantifying the strength of a statistical interaction between marker and a treatment. Different study designs are considered. Clinical validation of immunology biomarkers can be demanding both in terms of time and resources, and careful planning and study design are critical. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 41% |
| Student > Master | 2 | 12% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Mathematics | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 7 | 41% |
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 27 October 2015.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Journal for Immunotherapy of Cancer
#2,887
of 3,421 outputs
Outputs of similar age
#176,398
of 294,420 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#77
of 95 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 11th percentile – i.e., 11% 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 294,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.