| Title |
In silico characterization of the GH5-cellulase family from uncultured microorganisms: physicochemical and structural studies
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, September 2021
|
| DOI | 10.1186/s43141-021-00236-w |
| Pubmed ID | |
| Authors |
Rahmat Eko Sanjaya, Kartika Dwi Asni Putri, Anita Kurniati, Ali Rohman, Ni Nyoman Tri Puspaningsih |
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 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 > Ph. D. Student | 6 | 19% |
| Student > Doctoral Student | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 3 | 9% |
| Immunology and Microbiology | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 13 | 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 01 October 2021.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#124
of 348 outputs
Outputs of similar age
#263,657
of 435,813 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#14
of 25 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 41st percentile – i.e., 41% 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 435,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.