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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
The data shown below were collected from the profiles of 74 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 | 17 | 23% |
| Japan | 6 | 8% |
| China | 2 | 3% |
| United Kingdom | 2 | 3% |
| Korea, Republic of | 2 | 3% |
| Netherlands | 1 | 1% |
| Ecuador | 1 | 1% |
| Slovenia | 1 | 1% |
| Comoros | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 37 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 68% |
| Scientists | 24 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Unspecified | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 29% |
| Chemistry | 2 | 10% |
| Economics, Econometrics and Finance | 1 | 5% |
| Unspecified | 1 | 5% |
| Unknown | 11 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 28 May 2024.
All research outputs
#1,100,690
of 26,011,622 outputs
Outputs from Nature Structural & Molecular Biology
#399
of 4,267 outputs
Outputs of similar age
#10,526
of 225,700 outputs
Outputs of similar age from Nature Structural & Molecular Biology
#8
of 57 outputs
Altmetric has tracked 26,011,622 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 4,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 90% 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 225,700 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 57 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.