| Title |
Reply to ‘Assessing the impact of generative AI on medicinal chemistry’
|
|---|---|
| Published in |
Nature Biotechnology, January 2020
|
| DOI | 10.1038/s41587-020-0417-3 |
| Pubmed ID | |
| Authors |
Alex Zhavoronkov, Alán Aspuru-Guzik |
X Demographics
The data shown below were collected from the profiles of 35 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 | 6 | 17% |
| United Kingdom | 4 | 11% |
| Japan | 2 | 6% |
| Russia | 2 | 6% |
| Canada | 1 | 3% |
| Sweden | 1 | 3% |
| France | 1 | 3% |
| Switzerland | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 54% |
| Scientists | 15 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Lecturer | 3 | 7% |
| Other | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 16 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 26% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 20 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 135. 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 17 August 2022.
All research outputs
#310,191
of 25,563,770 outputs
Outputs from Nature Biotechnology
#724
of 8,590 outputs
Outputs of similar age
#8,008
of 475,647 outputs
Outputs of similar age from Nature Biotechnology
#26
of 100 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,590 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 91% 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 475,647 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 98% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.