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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Synthetic Biology to Improve the Production of Lipases and Esterases (Review)
|
|---|---|
| Chapter number | 13 |
| Book title |
Lipases and Phospholipases
|
| Published in |
Methods in molecular biology, August 2018
|
| DOI | 10.1007/978-1-4939-8672-9_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8671-2, 978-1-4939-8672-9
|
| Authors |
Heber Gamboa-Melendez, Macarena Larroude, Young Kyoung Park, Pauline Trebul, Jean-Marc Nicaud, Rodrigo Ledesma-Amaro, Gamboa-Melendez, Heber, Larroude, Macarena, Park, Young Kyoung, Trebul, Pauline, Nicaud, Jean-Marc, Ledesma-Amaro, Rodrigo |
| Abstract |
Synthetic biology is an emergent field of research whose aim is to make biology an engineering discipline, thus permitting to design, control, and standardize biological processes. Synthetic biology is therefore expected to boost the development of biotechnological processes such as protein production and enzyme engineering, which can be significantly relevant for lipases and esterases. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
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 12 April 2019.
All research outputs
#17,987,106
of 23,100,534 outputs
Outputs from Methods in molecular biology
#7,315
of 13,208 outputs
Outputs of similar age
#237,721
of 330,630 outputs
Outputs of similar age from Methods in molecular biology
#135
of 245 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 330,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.