| Title |
Structure-based identification of potent VEGFR-2 inhibitors from in vivo metabolites of a herbal ingredient
|
|---|---|
| Published in |
Journal of Molecular Modeling, March 2019
|
| DOI | 10.1007/s00894-019-3979-6 |
| Pubmed ID | |
| Authors |
Raju Dash, Md. Junaid, Sarmistha Mitra, Md Arifuzzaman, S. M. Zahid Hosen |
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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 20 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 21 | 58% |
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 25 March 2019.
All research outputs
#18,673,707
of 23,136,540 outputs
Outputs from Journal of Molecular Modeling
#532
of 827 outputs
Outputs of similar age
#265,970
of 351,597 outputs
Outputs of similar age from Journal of Molecular Modeling
#12
of 22 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 22nd percentile – i.e., 22% 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 351,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.