| Title |
Programming nanoparticle valence bonds with single-stranded DNA encoders
|
|---|---|
| Published in |
Nature Materials, December 2019
|
| DOI | 10.1038/s41563-019-0549-3 |
| Pubmed ID | |
| Authors |
Guangbao Yao, Jiang Li, Qian Li, Xiaoliang Chen, Xiaoguo Liu, Fei Wang, Zhibei Qu, Zhilei Ge, Raghu Pradeep Narayanan, Dewight Williams, Hao Pei, Xiaolei Zuo, Lihua Wang, Hao Yan, Ben L. Feringa, Chunhai Fan |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 8% |
| France | 2 | 8% |
| China | 2 | 8% |
| Spain | 1 | 4% |
| Australia | 1 | 4% |
| United States | 1 | 4% |
| Netherlands | 1 | 4% |
| Sweden | 1 | 4% |
| Unknown | 13 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 75% |
| Scientists | 6 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 18 | 13% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 9 | 6% |
| Professor | 8 | 6% |
| Other | 24 | 17% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 42 | 30% |
| Engineering | 12 | 9% |
| Materials Science | 9 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Chemical Engineering | 6 | 4% |
| Other | 17 | 12% |
| Unknown | 46 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 15 March 2023.
All research outputs
#2,626,348
of 25,490,562 outputs
Outputs from Nature Materials
#1,806
of 4,373 outputs
Outputs of similar age
#61,931
of 477,626 outputs
Outputs of similar age from Nature Materials
#45
of 67 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has gotten more attention than average, scoring higher than 58% 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 477,626 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 87% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.