| Title |
Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation
|
|---|---|
| Published in |
Drug Design, Development and Therapy, October 2014
|
| DOI | 10.2147/dddt.s67778 |
| Pubmed ID | |
| Authors |
Faizul Azam, Abdualrahman M Amer, Abdullah R Abulifa, Mustafa M Elzwawi |
X Demographics
The data shown below were collected from the profiles of 100 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 17% |
| France | 3 | 3% |
| India | 2 | 2% |
| Turkey | 2 | 2% |
| Canada | 2 | 2% |
| Austria | 2 | 2% |
| Mexico | 2 | 2% |
| Côte d'Ivoire | 1 | 1% |
| United Kingdom | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 63 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 89 | 89% |
| Practitioners (doctors, other healthcare professionals) | 7 | 7% |
| Scientists | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 126 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 23 | 18% |
| Student > Ph. D. Student | 14 | 11% |
| Researcher | 9 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 23 | 18% |
| Unknown | 43 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 11% |
| Biochemistry, Genetics and Molecular Biology | 11 | 9% |
| Agricultural and Biological Sciences | 10 | 8% |
| Medicine and Dentistry | 9 | 7% |
| Other | 15 | 12% |
| Unknown | 49 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 343. 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 03 April 2024.
All research outputs
#97,324
of 25,795,662 outputs
Outputs from Drug Design, Development and Therapy
#10
of 2,282 outputs
Outputs of similar age
#812
of 266,514 outputs
Outputs of similar age from Drug Design, Development and Therapy
#1
of 49 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,282 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 99% 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 266,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 49 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 97% of its contemporaries.