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Mendeley readers
Attention Score in Context
Title |
Genome-wide structural modelling of TCR-pMHC interactions
|
---|---|
Published in |
BMC Genomics, October 2013
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DOI | 10.1186/1471-2164-14-s5-s5 |
Pubmed ID | |
Authors |
I-Hsin Liu, Yu-Shu Lo, Jinn-Moon Yang |
Abstract |
The adaptive immune response is antigen-specific and triggered by pathogen recognition through T cells. Although the interactions and mechanisms of TCR-peptide-MHC (TCR-pMHC) have been studied over three decades, the biological basis for these processes remains controversial. As an increasing number of high-throughput binding epitopes and available TCR-pMHC complex structures, a fast genome-wide structural modelling of TCR-pMHC interactions is an emergent task for understanding immune interactions and developing peptide vaccines. |
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 2% |
Unknown | 44 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 36% |
Researcher | 7 | 16% |
Student > Master | 6 | 13% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 2 | 4% |
Other | 5 | 11% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 31% |
Agricultural and Biological Sciences | 12 | 27% |
Immunology and Microbiology | 3 | 7% |
Medicine and Dentistry | 2 | 4% |
Chemistry | 2 | 4% |
Other | 5 | 11% |
Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 March 2023.
All research outputs
#7,578,594
of 23,760,369 outputs
Outputs from BMC Genomics
#3,539
of 10,807 outputs
Outputs of similar age
#68,637
of 212,517 outputs
Outputs of similar age from BMC Genomics
#33
of 143 outputs
Altmetric has tracked 23,760,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,807 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 212,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.