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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Engineering Pichia pastoris for the Production of Carotenoids
|
|---|---|
| Chapter number | 19 |
| Book title |
Microbial Carotenoids
|
| Published in |
Methods in molecular biology, August 2018
|
| DOI | 10.1007/978-1-4939-8742-9_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8741-2, 978-1-4939-8742-9
|
| Authors |
Patricia Veiga-Crespo, José Miguel Araya-Garay, Tomás G. Villa, Veiga-Crespo, Patricia, Araya-Garay, José Miguel, Villa, Tomás G. |
| Abstract |
Carotenoids are one of the most diverse and widely distributed classes of pigments in the biosphere and exhibit a variety of functions in the nature. Their importance and biotechnological applications are higher and higher, but their sources are not increasing in the same exponential way. Here we describe the process of bioengineering the yeast Pichia pastoris by sequential transformation to get an astaxanthin producer. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Student > Master | 3 | 21% |
| Researcher | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Chemical Engineering | 1 | 7% |
| Unknown | 6 | 43% |
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 16 August 2018.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from Methods in molecular biology
#5,497
of 13,338 outputs
Outputs of similar age
#210,711
of 331,206 outputs
Outputs of similar age from Methods in molecular biology
#99
of 247 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,338 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 331,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.