| Title |
Rational engineering of industrial S. cerevisiae: towards xylitol production from sugarcane straw
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, May 2022
|
| DOI | 10.1186/s43141-022-00359-8 |
| Pubmed ID | |
| Authors |
Fellipe da Silveira Bezerra de Mello, Carla Maneira, Frank Uriel Lizarazo Suarez, Sheila Nagamatsu, Beatriz Vargas, Carla Vieira, Thais Secches, Alessando L. V. Coradini, Maria Augusta de Carvalho Silvello, Rosana Goldbeck, Gonçalo Amarante Guimarães Pereira, Gleidson Silva Teixeira |
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 % |
|---|---|---|
| Unknown | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Bachelor | 3 | 17% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Unspecified | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Immunology and Microbiology | 1 | 6% |
| Unknown | 10 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 October 2022.
All research outputs
#2,321,222
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#10
of 348 outputs
Outputs of similar age
#51,244
of 444,236 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#1
of 21 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% 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 444,236 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 88% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.