The data shown below were collected from the profiles of 61 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Self-Driving Laboratories for Chemistry and Materials Science
|
---|---|
Published in |
Chemical Reviews, August 2024
|
DOI | 10.1021/acs.chemrev.4c00055 |
Pubmed ID | |
Authors |
Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo-García, Ella M. Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth-Kalthoff, Martin Seifrid, Alán Aspuru-Guzik |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 15 | 25% |
Switzerland | 3 | 5% |
Germany | 2 | 3% |
United States | 2 | 3% |
Canada | 2 | 3% |
Spain | 1 | 2% |
United Kingdom | 1 | 2% |
Korea, Republic of | 1 | 2% |
Hong Kong | 1 | 2% |
Other | 1 | 2% |
Unknown | 32 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 62% |
Scientists | 23 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 20% |
Unspecified | 12 | 15% |
Student > Ph. D. Student | 11 | 13% |
Student > Doctoral Student | 3 | 4% |
Other | 3 | 4% |
Other | 9 | 11% |
Unknown | 28 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 16 | 20% |
Unspecified | 12 | 15% |
Materials Science | 10 | 12% |
Engineering | 4 | 5% |
Computer Science | 3 | 4% |
Other | 7 | 9% |
Unknown | 30 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 22 August 2024.
All research outputs
#1,172,174
of 26,515,106 outputs
Outputs from Chemical Reviews
#138
of 5,506 outputs
Outputs of similar age
#7,555
of 160,891 outputs
Outputs of similar age from Chemical Reviews
#1
of 19 outputs
Altmetric has tracked 26,515,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,506 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 160,891 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 95% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.