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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 5 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 Kingdom | 2 | 40% |
Indonesia | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
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% |
Chemistry | 2 | 20% |
Computer Science | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
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 06 September 2021.
All research outputs
#8,454,183
of 25,850,376 outputs
Outputs from Journal of Cheminformatics
#632
of 982 outputs
Outputs of similar age
#180,789
of 455,044 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 26 outputs
Altmetric has tracked 25,850,376 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 34th percentile – i.e., 34% 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 455,044 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 59% 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 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.