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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structure‐based identification of dual ligands at the A2AR and PDE10A with anti‐proliferative effects in lung cancer cell‐lines
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2021
|
| DOI | 10.1186/s13321-021-00492-5 |
| Pubmed ID | |
| Authors |
Leen Kalash, Ian Winfield, Dewi Safitri, Marcel Bermudez, Sabrina Carvalho, Robert Glen, Graham Ladds, Andreas Bender |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Professor | 1 | 10% |
| Unspecified | 1 | 10% |
| Researcher | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 20% |
| Unspecified | 1 | 10% |
| Computer Science | 1 | 10% |
| Chemistry | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2021.
All research outputs
#7,314,872
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#584
of 891 outputs
Outputs of similar age
#155,363
of 423,520 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 26 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 33rd percentile – i.e., 33% 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 423,520 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 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.