The data shown below were collected from the profiles of 79 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Computational design of non-porous pH-responsive antibody nanoparticles
|
---|---|
Published in |
Nature Structural & Molecular Biology, May 2024
|
DOI | 10.1038/s41594-024-01288-5 |
Pubmed ID | |
Authors |
Erin C. Yang, Robby Divine, Marcos C. Miranda, Andrew J. Borst, Will Sheffler, Jason Z. Zhang, Justin Decarreau, Amijai Saragovi, Mohamad Abedi, Nicolas Goldbach, Maggie Ahlrichs, Craig Dobbins, Alexis Hand, Suna Cheng, Mila Lamb, Paul M. Levine, Sidney Chan, Rebecca Skotheim, Jorge Fallas, George Ueda, Joshua Lubner, Masaharu Somiya, Alena Khmelinskaia, Neil P. King, David Baker |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 6% |
Japan | 2 | 3% |
Unknown | 72 | 91% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 56 | 71% |
Scientists | 23 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 22% |
Student > Ph. D. Student | 6 | 19% |
Other | 2 | 6% |
Student > Master | 2 | 6% |
Unspecified | 1 | 3% |
Other | 2 | 6% |
Unknown | 12 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 28% |
Chemistry | 4 | 13% |
Immunology and Microbiology | 3 | 9% |
Unspecified | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 3 | 9% |
Unknown | 11 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 August 2024.
All research outputs
#1,047,705
of 26,586,231 outputs
Outputs from Nature Structural & Molecular Biology
#371
of 4,332 outputs
Outputs of similar age
#16,410
of 336,955 outputs
Outputs of similar age from Nature Structural & Molecular Biology
#10
of 71 outputs
Altmetric has tracked 26,586,231 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 91% 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 336,955 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 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.