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Mendeley readers
Attention Score in Context
| Title |
Synthetic Protocells Interact with Viral Nanomachinery and Inactivate Pathogenic Human Virus
|
|---|---|
| Published in |
PLOS ONE, March 2011
|
| DOI | 10.1371/journal.pone.0016874 |
| Pubmed ID | |
| Authors |
Matteo Porotto, Feng Yi, Anne Moscona, David A. LaVan |
| Abstract |
We present a new antiviral strategy and research tool that could be applied to a wide range of enveloped viruses that infect human beings via membrane fusion. We test this strategy on two emerging zoonotic henipaviruses that cause fatal encephalitis in humans, Nipah (NiV) and Hendra (HeV) viruses. In the new approach, artificial cell-like particles (protocells) presenting membrane receptors in a biomimetic manner were developed and found to attract and inactivate henipavirus envelope glycoprotein pseudovirus particles, preventing infection. The protocells do not accumulate virus during the inactivation process. The use of protocells that interact with, but do not accumulate, viruses may provide significant advantages over current antiviral drugs, and this general approach may have wide potential for antiviral development. |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 4% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 41 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Researcher | 11 | 24% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 2 | 4% |
| Other | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 37% |
| Chemistry | 7 | 15% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Engineering | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 February 2017.
All research outputs
#2,526,365
of 22,708,120 outputs
Outputs from PLOS ONE
#31,814
of 193,897 outputs
Outputs of similar age
#11,638
of 109,005 outputs
Outputs of similar age from PLOS ONE
#279
of 1,370 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 83% 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 109,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1,370 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.