You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classical strong metal–support interactions between gold nanoparticles and titanium dioxide
|
|---|---|
| Published in |
Science Advances, October 2017
|
| DOI | 10.1126/sciadv.1700231 |
| Pubmed ID | |
| Authors |
Hailian Tang, Yang Su, Bingsen Zhang, Adam F Lee, Mark A Isaacs, Karen Wilson, Lin Li, Yuegong Ren, Jiahui Huang, Masatake Haruta, Botao Qiao, Xin Liu, Changzi Jin, Dangsheng Su, Junhu Wang, Tao Zhang |
| Abstract |
Supported metal catalysts play a central role in the modern chemical industry but often exhibit poor on-stream stability. The strong metal-support interaction (SMSI) offers a route to control the structural properties of supported metals and, hence, their reactivity and stability. Conventional wisdom holds that supported Au cannot manifest a classical SMSI, which is characterized by reversible metal encapsulation by the support upon high-temperature redox treatments. We demonstrate a classical SMSI for Au/TiO2, evidenced by suppression of CO adsorption, electron transfer from TiO2 to Au nanoparticles, and gold encapsulation by a TiO x overlayer following high-temperature reduction (reversed by subsequent oxidation), akin to that observed for titania-supported platinum group metals. In the SMSI state, Au/TiO2 exhibits markedly improved stability toward CO oxidation. The SMSI extends to Au supported over other reducible oxides (Fe3O4 and CeO2) and other group IB metals (Cu and Ag) over titania. This discovery highlights the general nature of the classical SMSI and unlocks the development of thermochemically stable IB metal catalysts. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 25% |
| United Kingdom | 3 | 25% |
| United States | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 302 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 87 | 29% |
| Researcher | 37 | 12% |
| Student > Master | 30 | 10% |
| Student > Bachelor | 18 | 6% |
| Student > Doctoral Student | 17 | 6% |
| Other | 37 | 12% |
| Unknown | 76 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 92 | 30% |
| Materials Science | 37 | 12% |
| Chemical Engineering | 37 | 12% |
| Physics and Astronomy | 10 | 3% |
| Engineering | 9 | 3% |
| Other | 20 | 7% |
| Unknown | 97 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 11 May 2022.
All research outputs
#2,191,721
of 25,382,440 outputs
Outputs from Science Advances
#7,571
of 12,215 outputs
Outputs of similar age
#42,151
of 335,664 outputs
Outputs of similar age from Science Advances
#135
of 207 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 335,664 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 207 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.