The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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
Attention Score in Context
| Title |
Accelerate the Electrolyte Perturbed-Chain Statistical Associating Fluid Theory–Density Functional Theory Calculation With the Chebyshev Pseudo-Spectral Collocation Method. Part II. Spherical Geometry and Anderson Mixing
|
|---|---|
| Published in |
Frontiers in Chemistry, January 2022
|
| DOI | 10.3389/fchem.2021.801551 |
| Pubmed ID | |
| Authors |
Yunhao Sun, Zhengxing Dai, Gulou Shen, Xiaohua Lu, Xiang Ling, Xiaoyan Ji |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 February 2022.
All research outputs
#13,386,534
of 23,098,660 outputs
Outputs from Frontiers in Chemistry
#785
of 6,040 outputs
Outputs of similar age
#205,717
of 503,887 outputs
Outputs of similar age from Frontiers in Chemistry
#43
of 390 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,040 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 86% 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 503,887 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 58% of its contemporaries.
We're also able to compare this research output to 390 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.