| Title |
A sensor for quantification of macromolecular crowding in living cells
|
|---|---|
| Published in |
Nature Methods, February 2015
|
| DOI | 10.1038/nmeth.3257 |
| Pubmed ID | |
| Authors |
Arnold J Boersma, Inge S Zuhorn, Bert Poolman |
| Abstract |
Macromolecular crowding in cells influences processes such as folding, association and diffusion of proteins and polynucleic acids. Direct spatiotemporal readout of crowding would be a powerful approach for unraveling the structure of the cytoplasm and determining the impact of excluded volume on protein function in living cells. Here, we introduce a genetically encodable fluorescence resonance energy transfer (FRET) sensor for quantifying macromolecular crowding and discuss our application of the sensor in bacterial and mammalian cells. |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 2 | 25% |
| Switzerland | 1 | 13% |
| Guinea | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 432 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Belgium | 2 | <1% |
| Netherlands | 1 | <1% |
| Singapore | 1 | <1% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Lithuania | 1 | <1% |
| Unknown | 422 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 98 | 23% |
| Researcher | 82 | 19% |
| Student > Master | 50 | 12% |
| Student > Bachelor | 42 | 10% |
| Professor | 23 | 5% |
| Other | 80 | 19% |
| Unknown | 57 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 116 | 27% |
| Biochemistry, Genetics and Molecular Biology | 101 | 23% |
| Chemistry | 49 | 11% |
| Physics and Astronomy | 35 | 8% |
| Engineering | 15 | 3% |
| Other | 43 | 10% |
| Unknown | 73 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 24 December 2021.
All research outputs
#517,238
of 22,757,090 outputs
Outputs from Nature Methods
#691
of 4,904 outputs
Outputs of similar age
#7,527
of 351,823 outputs
Outputs of similar age from Nature Methods
#17
of 97 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,904 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.5. 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 351,823 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 97% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.