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Mendeley readers
Attention Score in Context
| Title |
DNA-Mediated Self-Assembly of Artificial Vesicles
|
|---|---|
| Published in |
PLOS ONE, March 2010
|
| DOI | 10.1371/journal.pone.0009886 |
| Pubmed ID | |
| Authors |
Maik Hadorn, Peter Eggenberger Hotz |
| Abstract |
Although multicompartment systems made of single unilamellar vesicles offer the potential to outperform single compartment systems widely used in analytic, synthetic, and medical applications, their use has remained marginal to date. On the one hand, this can be attributed to the binary character of the majority of the current tethering protocols that impedes the implementation of real multicomponent or multifunctional systems. On the other hand, the few tethering protocols theoretically providing multicompartment systems composed of several distinct vesicle populations suffer from the readjustment of the vesicle formation procedure as well as from the loss of specificity of the linking mechanism over time. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| Netherlands | 1 | 1% |
| Denmark | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 73 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 26% |
| Researcher | 15 | 19% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 6 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 18 | 22% |
| Agricultural and Biological Sciences | 17 | 21% |
| Chemistry | 14 | 17% |
| Engineering | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Other | 9 | 11% |
| Unknown | 10 | 12% |
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 05 February 2014.
All research outputs
#2,128,205
of 22,743,667 outputs
Outputs from PLOS ONE
#27,157
of 194,093 outputs
Outputs of similar age
#8,041
of 94,703 outputs
Outputs of similar age from PLOS ONE
#121
of 670 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 85% 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 94,703 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 91% of its contemporaries.
We're also able to compare this research output to 670 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.