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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
|
|---|---|
| Published in |
Journal of Nanobiotechnology, February 2024
|
| DOI | 10.1186/s12951-024-02329-3 |
| Pubmed ID | |
| Authors |
Qin Qin, Xinyi Jiang, Liyun Huo, Jiaqiang Qian, Hongyuan Yu, Haixia Zhu, Wenhao Du, Yuhui Cao, Xing Zhang, Qiang Huang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 February 2024.
All research outputs
#3,612,641
of 25,383,344 outputs
Outputs from Journal of Nanobiotechnology
#135
of 1,912 outputs
Outputs of similar age
#28,160
of 200,738 outputs
Outputs of similar age from Journal of Nanobiotechnology
#3
of 57 outputs
Altmetric has tracked 25,383,344 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,912 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 200,738 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% 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 particularly well, scoring higher than 96% of its contemporaries.