| Title |
Ultrasmall gold nanoparticles (2 nm) can penetrate and enter cell nuclei in an in vitro 3D brain spheroid model
|
|---|---|
| Published in |
Acta Biomaterialia, May 2020
|
| DOI | 10.1016/j.actbio.2020.04.023 |
| Pubmed ID | |
| Authors |
Viktoriya Sokolova, Goodwell Nzou, Selina B van der Meer, Tatjana Ruks, Marc Heggen, Kateryna Loza, Nina Hagemann, Florian Murke, Bernd Giebel, Dirk M Hermann, Anthony J Atala, Matthias Epple |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 11% |
| Engineering | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Chemical Engineering | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 May 2022.
All research outputs
#7,965,383
of 25,387,668 outputs
Outputs from Acta Biomaterialia
#1,834
of 4,513 outputs
Outputs of similar age
#166,668
of 420,957 outputs
Outputs of similar age from Acta Biomaterialia
#41
of 91 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 420,957 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.