| Title |
An oncoinformatics study to predict the inhibitory potential of recent FDA-approved anti-cancer drugs against human Polo-like kinase 1 enzyme: a step towards dual-target cancer medication
|
|---|---|
| Published in |
3 Biotech, February 2019
|
| DOI | 10.1007/s13205-019-1594-y |
| Pubmed ID | |
| Authors |
Syed Mohd. Danish Rizvi, Abdulaziz Arif A. Alshammari, Waleed Abdullah Almawkaa, Abo Bakr F. Ahmed, Ahmed Katamesh, Ahmed Alafnan, Tariq J. Almutairi, Rakan F. Alshammari |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 3 | 43% |
| Italy | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
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 % |
|---|---|---|
| Researcher | 3 | 19% |
| Professor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 June 2020.
All research outputs
#6,808,764
of 25,248,775 outputs
Outputs from 3 Biotech
#150
of 1,413 outputs
Outputs of similar age
#133,933
of 455,407 outputs
Outputs of similar age from 3 Biotech
#5
of 45 outputs
Altmetric has tracked 25,248,775 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,413 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 89% 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 455,407 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 70% of its contemporaries.
We're also able to compare this research output to 45 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 91% of its contemporaries.