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Mendeley readers
Attention Score in Context
| Title |
Determinants of antigenicity and specificity in immune response for protein sequences
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-251 |
| Pubmed ID | |
| Authors |
Yulong Wang, Wenjun Wu, Nicolas N Negre, Kevin P White, Cheng Li, Parantu K Shah |
| Abstract |
Target specific antibodies are pivotal for the design of vaccines, immunodiagnostic tests, studies on proteomics for cancer biomarker discovery, identification of protein-DNA and other interactions, and small and large biochemical assays. Therefore, it is important to understand the properties of protein sequences that are important for antigenicity and to identify small peptide epitopes and large regions in the linear sequence of the proteins whose utilization result in specific antibodies. |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 110 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 21% |
| Student > Ph. D. Student | 19 | 17% |
| Student > Master | 17 | 15% |
| Student > Bachelor | 15 | 13% |
| Professor > Associate Professor | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 34% |
| Biochemistry, Genetics and Molecular Biology | 18 | 16% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 16 | 14% |
| Unknown | 20 | 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 22 June 2011.
All research outputs
#20,148,663
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#6,810
of 7,236 outputs
Outputs of similar age
#106,462
of 114,990 outputs
Outputs of similar age from BMC Bioinformatics
#101
of 105 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 114,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.