↓ Skip to main content

The Seepage Tensor of the Multiparameter Model of Pipe Element in Fractured Rock Mass

Overview of attention for article published in Frontiers in Built Environment, August 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions
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.
Title
The Seepage Tensor of the Multiparameter Model of Pipe Element in Fractured Rock Mass
Published in
Frontiers in Built Environment, August 2022
DOI 10.3389/fbuil.2022.927100
Authors

Wang Junqi, Wang Ziyan, Wei Xiaoting

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 August 2022.
All research outputs
#18,697,497
of 23,172,045 outputs
Outputs from Frontiers in Built Environment
#561
of 1,088 outputs
Outputs of similar age
#299,391
of 432,861 outputs
Outputs of similar age from Frontiers in Built Environment
#29
of 93 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,088 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 432,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.