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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining epitope coverage requirements for T cell-based HIV vaccines: Theoretical considerations and practical applications
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2011
|
| DOI | 10.1186/1479-5876-9-212 |
| Pubmed ID | |
| Authors |
Jeffrey R Currier, Merlin L Robb, Nelson L Michael, Mary A Marovich |
| Abstract |
HIV vaccine development must address the genetic diversity and plasticity of the virus that permits the presentation of diverse genetic forms to the immune system and subsequent escape from immune pressure. Assessment of potential HIV strain coverage by candidate T cell-based vaccines (whether natural sequence or computationally optimized products) is now a critical component in interpreting candidate vaccine suitability. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 27% |
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 27% |
| Agricultural and Biological Sciences | 4 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Immunology and Microbiology | 2 | 9% |
| Computer Science | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
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 16 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from Journal of Translational Medicine
#2,919
of 3,951 outputs
Outputs of similar age
#195,773
of 240,849 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 56 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,951 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 16th percentile – i.e., 16% 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 240,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.