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Mendeley readers
Attention Score in Context
| Title |
Identification of B-cell epitopes in an antigen for inducing specific class of antibodies
|
|---|---|
| Published in |
Biology Direct, October 2013
|
| DOI | 10.1186/1745-6150-8-27 |
| Pubmed ID | |
| Authors |
Sudheer Gupta, Hifzur Rahman Ansari, Ankur Gautam, Open Source Drug Discovery Consortium, Gajendra PS Raghava |
| Abstract |
In the past, numerous methods have been developed for predicting antigenic regions or B-cell epitopes that can induce B-cell response. To the best of authors' knowledge, no method has been developed for predicting B-cell epitopes that can induce a specific class of antibody (e.g., IgA, IgG) except allergenic epitopes (IgE). In this study, an attempt has been made to understand the relation between primary sequence of epitopes and the class of antibodies generated. |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| United Kingdom | 1 | <1% |
| Unknown | 103 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 24% |
| Student > Master | 17 | 16% |
| Researcher | 15 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 26% |
| Biochemistry, Genetics and Molecular Biology | 20 | 19% |
| Immunology and Microbiology | 12 | 11% |
| Medicine and Dentistry | 6 | 6% |
| Computer Science | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 25 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 November 2013.
All research outputs
#13,401,381
of 22,741,406 outputs
Outputs from Biology Direct
#308
of 487 outputs
Outputs of similar age
#111,666
of 212,688 outputs
Outputs of similar age from Biology Direct
#5
of 7 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 33rd percentile – i.e., 33% 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 212,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.