| Title |
A scalable solid-state nanoporous network with atomic-level interaction design for carbon dioxide capture
|
|---|---|
| Published in |
Science Advances, August 2022
|
| DOI | 10.1126/sciadv.abo6849 |
| Pubmed ID | |
| Authors |
Haiyan Mao, Jing Tang, Gregory S Day, Yucan Peng, Haoze Wang, Xin Xiao, Yufei Yang, Yuanwen Jiang, Shuo Chen, David M Halat, Alicia Lund, Xudong Lv, Wenbo Zhang, Chongqing Yang, Zhou Lin, Hong-Cai Zhou, Alexander Pines, Yi Cui, Jeffrey A Reimer |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
| India | 1 | 5% |
| Unknown | 12 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Other | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 21% |
| Chemical Engineering | 6 | 13% |
| Engineering | 6 | 13% |
| Materials Science | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 251. 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 October 2022.
All research outputs
#147,737
of 25,392,582 outputs
Outputs from Science Advances
#1,312
of 12,220 outputs
Outputs of similar age
#4,509
of 432,107 outputs
Outputs of similar age from Science Advances
#68
of 516 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.2. This one has done well, scoring higher than 89% 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 432,107 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 98% of its contemporaries.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.