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Mendeley readers
Attention Score in Context
| Title |
Layer-by-layer cell membrane assembly
|
|---|---|
| Published in |
Nature Chemistry, September 2013
|
| DOI | 10.1038/nchem.1765 |
| Pubmed ID | |
| Authors |
Sandro Matosevic, Brian M. Paegel |
| Abstract |
Eukaryotic subcellular membrane systems, such as the nuclear envelope or endoplasmic reticulum, present a rich array of architecturally and compositionally complex supramolecular targets that are as yet inaccessible. Here we describe layer-by-layer phospholipid membrane assembly on microfluidic droplets, a route to structures with defined compositional asymmetry and lamellarity. Starting with phospholipid-stabilized water-in-oil droplets trapped in a static droplet array, lipid monolayer deposition proceeds as oil/water-phase boundaries pass over the droplets. Unilamellar vesicles assembled layer-by-layer support functional insertion both of purified and of in situ expressed membrane proteins. Synthesis and chemical probing of asymmetric unilamellar and double-bilayer vesicles demonstrate the programmability of both membrane lamellarity and lipid-leaflet composition during assembly. The immobilized vesicle arrays are a pragmatic experimental platform for biophysical studies of membranes and their associated proteins, particularly complexes that assemble and function in multilamellar contexts in vivo. |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 254 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 30% |
| Researcher | 45 | 17% |
| Student > Master | 27 | 10% |
| Student > Bachelor | 24 | 9% |
| Professor | 16 | 6% |
| Other | 31 | 12% |
| Unknown | 43 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 72 | 27% |
| Agricultural and Biological Sciences | 32 | 12% |
| Engineering | 26 | 10% |
| Biochemistry, Genetics and Molecular Biology | 24 | 9% |
| Physics and Astronomy | 24 | 9% |
| Other | 33 | 12% |
| Unknown | 54 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 88. 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 27 July 2023.
All research outputs
#447,925
of 24,151,461 outputs
Outputs from Nature Chemistry
#316
of 3,175 outputs
Outputs of similar age
#3,666
of 209,912 outputs
Outputs of similar age from Nature Chemistry
#6
of 44 outputs
Altmetric has tracked 24,151,461 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one has done particularly well, scoring higher than 90% 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 209,912 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 98% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.