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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lucas–Washburn Equation-Based Modeling of Capillary-Driven Flow in Porous Systems
|
|---|---|
| Published in |
Langmuir, January 2021
|
| DOI | 10.1021/acs.langmuir.0c03134 |
| Pubmed ID | |
| Authors |
Jianchao Cai, Tingxu Jin, Jisheng Kou, Shuangmei Zou, Junfeng Xiao, Qingbang Meng |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 20% |
| Researcher | 16 | 11% |
| Student > Master | 12 | 8% |
| Student > Postgraduate | 7 | 5% |
| Student > Doctoral Student | 5 | 3% |
| Other | 14 | 10% |
| Unknown | 63 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 34 | 23% |
| Chemical Engineering | 13 | 9% |
| Chemistry | 6 | 4% |
| Materials Science | 5 | 3% |
| Physics and Astronomy | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 75 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 June 2022.
All research outputs
#5,682,134
of 23,281,392 outputs
Outputs from Langmuir
#2,874
of 14,193 outputs
Outputs of similar age
#139,526
of 505,501 outputs
Outputs of similar age from Langmuir
#15
of 132 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,193 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% 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 505,501 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 72% of its contemporaries.
We're also able to compare this research output to 132 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.