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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modular Detection of GFP-Labeled Proteins for Rapid Screening by Electron Microscopy in Cells and Organisms
|
|---|---|
| Published in |
Developmental Cell, November 2015
|
| DOI | 10.1016/j.devcel.2015.10.016 |
| Pubmed ID | |
| Authors |
Nicholas Ariotti, Thomas E. Hall, James Rae, Charles Ferguson, Kerrie-Ann McMahon, Nick Martel, Robyn E. Webb, Richard I. Webb, Rohan D. Teasdale, Robert G. Parton |
| Abstract |
Reliable and quantifiable high-resolution protein localization is critical for understanding protein function. However, the time required to clone and characterize any protein of interest is a significant bottleneck, especially for electron microscopy (EM). We present a modular system for enzyme-based protein tagging that allows for improved speed and sampling for analysis of subcellular protein distributions using existing clone libraries to EM-resolution. We demonstrate that we can target a modified soybean ascorbate peroxidase (APEX) to any GFP-tagged protein of interest by engineering a GFP-binding peptide (GBP) directly to the APEX-tag. We demonstrate that APEX-GBP (1) significantly reduces the time required to characterize subcellular protein distributions of whole libraries to less than 3 days, (2) provides remarkable high-resolution localization of proteins to organelle subdomains, and (3) allows EM localization of GFP-tagged proteins, including proteins expressed at endogenous levels, in vivo by crossing existing GFP-tagged transgenic zebrafish lines with APEX-GBP transgenic lines. |
X Demographics
The data shown below were collected from the profiles of 37 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 | 5 | 14% |
| United States | 4 | 11% |
| Australia | 3 | 8% |
| Japan | 2 | 5% |
| Saint Lucia | 1 | 3% |
| France | 1 | 3% |
| India | 1 | 3% |
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 16 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 70% |
| Scientists | 8 | 22% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Singapore | 1 | <1% |
| Chile | 1 | <1% |
| China | 1 | <1% |
| Belgium | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 262 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 24% |
| Researcher | 55 | 20% |
| Student > Master | 20 | 7% |
| Student > Bachelor | 19 | 7% |
| Professor > Associate Professor | 15 | 5% |
| Other | 58 | 21% |
| Unknown | 41 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 32% |
| Biochemistry, Genetics and Molecular Biology | 86 | 31% |
| Neuroscience | 16 | 6% |
| Immunology and Microbiology | 8 | 3% |
| Medicine and Dentistry | 6 | 2% |
| Other | 20 | 7% |
| Unknown | 49 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 03 August 2023.
All research outputs
#1,065,656
of 25,394,764 outputs
Outputs from Developmental Cell
#466
of 4,318 outputs
Outputs of similar age
#15,680
of 293,342 outputs
Outputs of similar age from Developmental Cell
#12
of 72 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 89% 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 293,342 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 94% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.