| Title |
New treatments for influenza
|
|---|---|
| Published in |
BMC Medicine, September 2012
|
| DOI | 10.1186/1741-7015-10-104 |
| Pubmed ID | |
| Authors |
Sailen Barik |
| Abstract |
Influenza has a long history of causing morbidity and mortality in the human population through routine seasonal spread and global pandemics. The high mutation rate of the RNA genome of the influenza virus, combined with assortment of its multiple genomic segments, promote antigenic diversity and new subtypes, allowing the virus to evade vaccines and become resistant to antiviral drugs. There is thus a continuing need for new anti-influenza therapy using novel targets and creative strategies. In this review, we summarize prospective future therapeutic regimens based on recent molecular and genomic discoveries. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 30% |
| Australia | 2 | 20% |
| Kyrgyzstan | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Nigeria | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 140 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 31 | 21% |
| Student > Ph. D. Student | 30 | 20% |
| Student > Master | 19 | 13% |
| Researcher | 11 | 7% |
| Student > Postgraduate | 11 | 7% |
| Other | 21 | 14% |
| Unknown | 24 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 26% |
| Medicine and Dentistry | 28 | 19% |
| Biochemistry, Genetics and Molecular Biology | 13 | 9% |
| Immunology and Microbiology | 11 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 7% |
| Other | 19 | 13% |
| Unknown | 28 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 September 2012.
All research outputs
#5,933,791
of 22,678,224 outputs
Outputs from BMC Medicine
#2,281
of 3,398 outputs
Outputs of similar age
#42,592
of 168,451 outputs
Outputs of similar age from BMC Medicine
#31
of 46 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,398 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 32nd percentile – i.e., 32% 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 168,451 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 74% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.