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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tackling Climate Change with Machine Learning
|
|---|---|
| Published in |
ACM Computing Surveys, February 2022
|
| DOI | 10.1145/3485128 |
| Authors |
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio |
X Demographics
The data shown below were collected from the profiles of 167 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 | 40 | 24% |
| Canada | 12 | 7% |
| Germany | 11 | 7% |
| United Kingdom | 8 | 5% |
| India | 7 | 4% |
| France | 4 | 2% |
| Switzerland | 4 | 2% |
| Spain | 2 | 1% |
| South Africa | 2 | 1% |
| Other | 12 | 7% |
| Unknown | 65 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 126 | 75% |
| Scientists | 37 | 22% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,448 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2448 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 378 | 15% |
| Student > Master | 306 | 13% |
| Researcher | 274 | 11% |
| Student > Bachelor | 166 | 7% |
| Other | 103 | 4% |
| Other | 345 | 14% |
| Unknown | 876 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 439 | 18% |
| Engineering | 252 | 10% |
| Environmental Science | 107 | 4% |
| Earth and Planetary Sciences | 93 | 4% |
| Social Sciences | 70 | 3% |
| Other | 526 | 21% |
| Unknown | 961 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 290. 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 March 2024.
All research outputs
#122,771
of 25,837,817 outputs
Outputs from ACM Computing Surveys
#4
of 1,425 outputs
Outputs of similar age
#4,057
of 522,243 outputs
Outputs of similar age from ACM Computing Surveys
#1
of 27 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,425 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 99% 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 522,243 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 99% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.