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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimized polyepitope neoantigen DNA vaccines elicit neoantigen-specific immune responses in preclinical models and in clinical translation
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00872-4 |
| Pubmed ID | |
| Authors |
Lijin Li, Xiuli Zhang, Xiaoli Wang, Samuel W. Kim, John M. Herndon, Michelle K. Becker-Hapak, Beatriz M. Carreno, Nancy B. Myers, Mark A. Sturmoski, Michael D. McLellan, Christopher A. Miller, Tanner M. Johanns, Benjamin R. Tan, Gavin P. Dunn, Timothy P. Fleming, Ted H. Hansen, S. Peter Goedegebuure, William E. Gillanders |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| United States | 3 | 27% |
| Iran, Islamic Republic of | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Unspecified | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 25 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Medicine and Dentistry | 7 | 11% |
| Unspecified | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 24 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 May 2021.
All research outputs
#1,172,113
of 23,905,714 outputs
Outputs from Genome Medicine
#240
of 1,477 outputs
Outputs of similar age
#32,133
of 436,770 outputs
Outputs of similar age from Genome Medicine
#6
of 57 outputs
Altmetric has tracked 23,905,714 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.3. This one has done well, scoring higher than 83% 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 436,770 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 92% of its contemporaries.
We're also able to compare this research output to 57 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 91% of its contemporaries.