| Title |
pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens
|
|---|---|
| Published in |
Cancer Immunology Research, March 2020
|
| DOI | 10.1158/2326-6066.cir-19-0401 |
| Pubmed ID | |
| Authors |
Jasreet Hundal, Susanna Kiwala, Joshua McMichael, Christopher A. Miller, Huiming Xia, Alexander T. Wollam, Connor J. Liu, Sidi Zhao, Yang-Yang Feng, Aaron P. Graubert, Amber Z. Wollam, Jonas Neichin, Megan Neveau, Jason Walker, William E. Gillanders, Elaine R. Mardis, Obi L. Griffith, Malachi Griffith |
X Demographics
The data shown below were collected from the profiles of 35 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 States | 16 | 46% |
| Canada | 2 | 6% |
| China | 1 | 3% |
| Colombia | 1 | 3% |
| Poland | 1 | 3% |
| Argentina | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 12 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 54% |
| Members of the public | 16 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 19% |
| Researcher | 28 | 15% |
| Student > Master | 24 | 13% |
| Other | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 28 | 15% |
| Unknown | 46 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 52 | 29% |
| Agricultural and Biological Sciences | 23 | 13% |
| Immunology and Microbiology | 14 | 8% |
| Medicine and Dentistry | 11 | 6% |
| Computer Science | 10 | 6% |
| Other | 21 | 12% |
| Unknown | 50 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 April 2023.
All research outputs
#962,871
of 24,150,351 outputs
Outputs from Cancer Immunology Research
#101
of 1,459 outputs
Outputs of similar age
#23,741
of 364,177 outputs
Outputs of similar age from Cancer Immunology Research
#3
of 62 outputs
Altmetric has tracked 24,150,351 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 93% 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 364,177 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.