| Title |
Closed-loop optimization of general reaction conditions for heteroaryl Suzuki-Miyaura coupling
|
|---|---|
| Published in |
Science, October 2022
|
| DOI | 10.1126/science.adc8743 |
| Pubmed ID | |
| Authors |
Nicholas H Angello, Vandana Rathore, Wiktor Beker, Agnieszka Wołos, Edward R Jira, Rafał Roszak, Tony C Wu, Charles M Schroeder, Alán Aspuru-Guzik, Bartosz A Grzybowski, Martin D Burke |
X Demographics
The data shown below were collected from the profiles of 46 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 | 10 | 22% |
| United Kingdom | 3 | 7% |
| Canada | 2 | 4% |
| Poland | 2 | 4% |
| Israel | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Switzerland | 1 | 2% |
| India | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 18 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 67% |
| Members of the public | 13 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Researcher | 22 | 17% |
| Student > Bachelor | 8 | 6% |
| Professor | 7 | 5% |
| Student > Master | 6 | 5% |
| Other | 12 | 9% |
| Unknown | 53 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 54 | 41% |
| Chemical Engineering | 6 | 5% |
| Engineering | 5 | 4% |
| Materials Science | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 55 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 140. 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 19 March 2024.
All research outputs
#302,290
of 25,744,802 outputs
Outputs from Science
#8,121
of 83,274 outputs
Outputs of similar age
#7,972
of 442,787 outputs
Outputs of similar age from Science
#144
of 436 outputs
Altmetric has tracked 25,744,802 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 83,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done particularly well, scoring higher than 90% 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 442,787 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 436 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.