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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-resolution genomic analysis: the tumor-immune interface comes into focus
|
|---|---|
| Published in |
Genome Biology, March 2015
|
| DOI | 10.1186/s13059-015-0631-3 |
| Pubmed ID | |
| Authors |
Jonathan J Havel, Timothy A Chan |
| Abstract |
A genomic analysis of heterogeneous colorectal tumor samples has uncovered interactions between immunophenotype and various aspects of tumor biology, with implications for informing the choice of immunotherapies for specific patients and guiding the design of personalized neoantigen-based vaccines. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| India | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 2% |
| United States | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 27% |
| Student > Ph. D. Student | 9 | 17% |
| Other | 8 | 15% |
| Student > Master | 6 | 12% |
| Professor > Associate Professor | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 27% |
| Agricultural and Biological Sciences | 13 | 25% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Immunology and Microbiology | 5 | 10% |
| Computer Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 April 2016.
All research outputs
#3,622,393
of 25,374,917 outputs
Outputs from Genome Biology
#2,501
of 4,467 outputs
Outputs of similar age
#45,316
of 279,260 outputs
Outputs of similar age from Genome Biology
#45
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 43rd percentile – i.e., 43% 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 279,260 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.