| Title |
RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences
|
|---|---|
| Published in |
Nucleic Acids Research, November 2020
|
| DOI | 10.1093/nar/gkaa1038 |
| Pubmed ID | |
| Authors |
Stephen K Burley, Charmi Bhikadiya, Chunxiao Bi, Sebastian Bittrich, Li Chen, Gregg V Crichlow, Cole H Christie, Kenneth Dalenberg, Luigi Di Costanzo, Jose M Duarte, Shuchismita Dutta, Zukang Feng, Sai Ganesan, David S Goodsell, Sutapa Ghosh, Rachel Kramer Green, Vladimir Guranović, Dmytro Guzenko, Brian P Hudson, Catherine L Lawson, Yuhe Liang, Robert Lowe, Harry Namkoong, Ezra Peisach, Irina Persikova, Chris Randle, Alexander Rose, Yana Rose, Andrej Sali, Joan Segura, Monica Sekharan, Chenghua Shao, Yi-Ping Tao, Maria Voigt, John D Westbrook, Jasmine Y Young, Christine Zardecki, Marina Zhuravleva |
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Mendeley readers
The data shown below were compiled from readership statistics for 1,282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1282 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 10% |
| Student > Bachelor | 112 | 9% |
| Student > Master | 99 | 8% |
| Researcher | 76 | 6% |
| Unspecified | 55 | 4% |
| Other | 165 | 13% |
| Unknown | 653 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 200 | 16% |
| Chemistry | 89 | 7% |
| Unspecified | 54 | 4% |
| Agricultural and Biological Sciences | 53 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 42 | 3% |
| Other | 167 | 13% |
| Unknown | 677 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 07 November 2022.
All research outputs
#2,293,935
of 33,834,589 outputs
Outputs from Nucleic Acids Research
#2,156
of 33,232 outputs
Outputs of similar age
#48,904
of 570,176 outputs
Outputs of similar age from Nucleic Acids Research
#52
of 387 outputs
Altmetric has tracked 33,834,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,232 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 93% 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 570,176 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 91% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.