| Title |
High-throughput screening of natural compounds and inhibition of a major therapeutic target HsGSK-3β for Alzheimer’s disease using computational approaches
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, May 2021
|
| DOI | 10.1186/s43141-021-00163-w |
| Pubmed ID | |
| Authors |
Rohit Shukla, Tiratha Raj Singh |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Researcher | 2 | 8% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Chemistry | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 17 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 May 2021.
All research outputs
#3,346,066
of 25,387,668 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#12
of 348 outputs
Outputs of similar age
#83,194
of 454,140 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#1
of 25 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% 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 96% 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 454,140 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 81% of its contemporaries.
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 has done particularly well, scoring higher than 96% of its contemporaries.