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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Highly accurate protein structure prediction for the human proteome
|
|---|---|
| Published in |
Nature, July 2021
|
| DOI | 10.1038/s41586-021-03828-1 |
| Pubmed ID | |
| Authors |
Kathryn Tunyasuvunakool, Jonas Adler, Zachary Wu, Tim Green, Michal Zielinski, Augustin Žídek, Alex Bridgland, Andrew Cowie, Clemens Meyer, Agata Laydon, Sameer Velankar, Gerard J. Kleywegt, Alex Bateman, Richard Evans, Alexander Pritzel, Michael Figurnov, Olaf Ronneberger, Russ Bates, Simon A. A. Kohl, Anna Potapenko, Andrew J. Ballard, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Ellen Clancy, David Reiman, Stig Petersen, Andrew W. Senior, Koray Kavukcuoglu, Ewan Birney, Pushmeet Kohli, John Jumper, Demis Hassabis |
X Demographics
The data shown below were collected from the profiles of 1,312 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 | 217 | 17% |
| United Kingdom | 105 | 8% |
| Japan | 45 | 3% |
| Spain | 45 | 3% |
| India | 38 | 3% |
| Germany | 35 | 3% |
| Canada | 27 | 2% |
| France | 23 | 2% |
| Australia | 16 | 1% |
| Other | 227 | 17% |
| Unknown | 534 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 851 | 65% |
| Scientists | 395 | 30% |
| Practitioners (doctors, other healthcare professionals) | 34 | 3% |
| Science communicators (journalists, bloggers, editors) | 32 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,983 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1983 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 334 | 17% |
| Researcher | 272 | 14% |
| Student > Bachelor | 206 | 10% |
| Student > Master | 172 | 9% |
| Other | 64 | 3% |
| Other | 294 | 15% |
| Unknown | 641 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 565 | 28% |
| Agricultural and Biological Sciences | 177 | 9% |
| Chemistry | 131 | 7% |
| Computer Science | 83 | 4% |
| Engineering | 53 | 3% |
| Other | 287 | 14% |
| Unknown | 687 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1420. 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 18 January 2024.
All research outputs
#8,864
of 25,795,662 outputs
Outputs from Nature
#918
of 98,804 outputs
Outputs of similar age
#428
of 447,592 outputs
Outputs of similar age from Nature
#50
of 926 outputs
Altmetric has tracked 25,795,662 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 98,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. 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 447,592 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 926 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.