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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Demonstration of protein-fragment complementation assay using purified firefly luciferase fragments
|
|---|---|
| Published in |
BMC Biotechnology, March 2013
|
| DOI | 10.1186/1472-6750-13-31 |
| Pubmed ID | |
| Authors |
Yuki Ohmuro-Matsuyama, Chan-I Chung, Hiroshi Ueda |
| Abstract |
Human interactome is predicted to contain 150,000 to 300,000 protein-protein interactions, (PPIs). Protein-fragment complementation assay (PCA) is one of the most widely used methods to detect PPI, as well as Förster resonance energy transfer (FRET). To date, successful applications of firefly luciferase (Fluc)-based PCA have been reported in vivo, in cultured cells and in cell-free lysate, owing to its high sensitivity, high signal-to-background (S/B) ratio, and reversible response. Here we show the assay also works with purified proteins with unexpectedly rapid kinetics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Uruguay | 1 | 1% |
| France | 1 | 1% |
| Unknown | 79 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 27% |
| Student > Ph. D. Student | 20 | 24% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 6 | 7% |
| Professor | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 37% |
| Biochemistry, Genetics and Molecular Biology | 20 | 24% |
| Chemistry | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 15 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 April 2013.
All research outputs
#18,333,600
of 22,703,044 outputs
Outputs from BMC Biotechnology
#762
of 935 outputs
Outputs of similar age
#150,159
of 197,825 outputs
Outputs of similar age from BMC Biotechnology
#15
of 18 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 197,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.