| Title |
Determination of deleterious single-nucleotide polymorphisms of human LYZ C gene: an in silico study
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, July 2022
|
| DOI | 10.1186/s43141-022-00383-8 |
| Pubmed ID | |
| Authors |
Harini Venkata Subbiah, Polani Ramesh Babu, Usha Subbiah |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Unknown | 11 | 69% |
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 29 July 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#217
of 348 outputs
Outputs of similar age
#328,244
of 439,890 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#13
of 23 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 25th percentile – i.e., 25% 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 439,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.