| Title |
Morphological and molecular characterization of bacterial endophytes from Centella asiatica leaves
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, December 2022
|
| DOI | 10.1186/s43141-022-00456-8 |
| Pubmed ID | |
| Authors |
Siphiwe G. Mahlangu, Siew L. Tai |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 14% |
| Researcher | 4 | 14% |
| Unspecified | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 12 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 21% |
| Unspecified | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Engineering | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2022.
All research outputs
#8,544,090
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#55
of 348 outputs
Outputs of similar age
#160,861
of 476,590 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#2
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has done well, scoring higher than 80% 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 476,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.