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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using HEK293T Expression System to Study Photoactive Plant Cryptochromes
|
|---|---|
| Published in |
Frontiers in Plant Science, June 2016
|
| DOI | 10.3389/fpls.2016.00940 |
| Pubmed ID | |
| Authors |
Liang Yang, Xu Wang, Weixian Deng, Weiliang Mo, Jie Gao, Qing Liu, Chuanyu Zhang, Qin Wang, Chentao Lin, Zecheng Zuo |
| Abstract |
Cryptochromes are photolyase-like blue light receptors that are conserved in plants and animals. Although the light-dependent catalytic mechanism of photolyase is well studied, the photochemical mechanism of cryptochromes remains largely unknown. Lack of an appropriate protein expression system to obtain photochemically active cryptochrome holoproteins is a technical obstacle for the study of plant cryptochromes. We report here an easy-to-use method to express and study Arabidopsis cryptochrome in HEK293T cells. Our results indicate that Arabidopsis cryptochromes expressed in HEK293T are photochemically active. We envision a broad use of this method in the functional investigation of plant proteins, especially in the large-scale analyses of photochemical activities of cryptochromes such as blue light-dependent protein-protein interactions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 31% |
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 41% |
| Agricultural and Biological Sciences | 4 | 13% |
| Engineering | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 7 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 November 2023.
All research outputs
#4,138,500
of 24,958,301 outputs
Outputs from Frontiers in Plant Science
#2,098
of 23,890 outputs
Outputs of similar age
#68,687
of 360,525 outputs
Outputs of similar age from Frontiers in Plant Science
#39
of 527 outputs
Altmetric has tracked 24,958,301 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,890 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 360,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.