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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic instability and increased mutational load: which diagnostic tool best direct patients with cancer to immunotherapy?
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2017
|
| DOI | 10.1186/s12967-017-1119-6 |
| Pubmed ID | |
| Authors |
Giuseppe Palmieri, Maria Colombino, Antonio Cossu, Antonio Marchetti, Gerardo Botti, Paolo A. Ascierto |
| Abstract |
The occurrence of high rates of somatic mutations in cancer is believed to correspond to increased frequency of neo-epitope formation and tumor immunogenicity. Thus, classification of patients with cancer according to degree a somatic hyper-mutational status could be proposed as a predictive biomarker of responsiveness to immunotherapy with immune checkpoint inhibitors. Here, we discuss the suitable and reliable tests easily adoptable in clinical practice to assess somatic mutational status in patients with advanced cancer. |
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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 33% |
| Student > Bachelor | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Professor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 10 | 25% |
| Agricultural and Biological Sciences | 4 | 10% |
| Immunology and Microbiology | 4 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 23% |
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 January 2017.
All research outputs
#15,431,277
of 22,940,083 outputs
Outputs from Journal of Translational Medicine
#2,247
of 4,010 outputs
Outputs of similar age
#255,206
of 418,332 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 64 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 418,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.