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Mendeley readers
Attention Score in Context
| Title |
Designing of interferon-gamma inducing MHC class-II binders
|
|---|---|
| Published in |
Biology Direct, December 2013
|
| DOI | 10.1186/1745-6150-8-30 |
| Pubmed ID | |
| Authors |
Sandeep Kumar Dhanda, Pooja Vir, Gajendra PS Raghava |
| Abstract |
The generation of interferon-gamma (IFN-γ) by MHC class II activated CD4+ T helper cells play a substantial contribution in the control of infections such as caused by Mycobacterium tuberculosis. In the past, numerous methods have been developed for predicting MHC class II binders that can activate T-helper cells. Best of author's knowledge, no method has been developed so far that can predict the type of cytokine will be secreted by these MHC Class II binders or T-helper epitopes. In this study, an attempt has been made to predict the IFN-γ inducing peptides. The main dataset used in this study contains 3705 IFN-γ inducing and 6728 non-IFN-γ inducing MHC class II binders. Another dataset called IFNgOnly contains 4483 IFN-γ inducing epitopes and 2160 epitopes that induce other cytokine except IFN-γ. In addition we have alternate dataset that contains IFN-γ inducing and equal number of random peptides. |
Mendeley readers
The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | <1% |
| United States | 1 | <1% |
| Unknown | 374 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 50 | 13% |
| Researcher | 47 | 12% |
| Student > Master | 40 | 11% |
| Student > Ph. D. Student | 39 | 10% |
| Student > Postgraduate | 12 | 3% |
| Other | 45 | 12% |
| Unknown | 144 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 23% |
| Agricultural and Biological Sciences | 39 | 10% |
| Immunology and Microbiology | 28 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 2% |
| Engineering | 8 | 2% |
| Other | 42 | 11% |
| Unknown | 164 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 15 June 2023.
All research outputs
#2,433,228
of 23,867,274 outputs
Outputs from Biology Direct
#101
of 503 outputs
Outputs of similar age
#28,418
of 314,328 outputs
Outputs of similar age from Biology Direct
#6
of 12 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 80% 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 314,328 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 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.