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
| Chapter title |
Refining Simplex Points for Scalable Estimation of the Lebesgue Constant
|
|---|---|
| Chapter number | 20 |
| Book title |
SIAM International Meshing Roundtable 2023
|
| Published in |
Lecture Notes in Computational Science and Engineering, January 2024
|
| DOI | 10.1007/978-3-031-40594-5_20 |
| Book ISBNs |
978-3-03-140593-8, 978-3-03-140594-5
|
| Authors |
Jiménez-Ramos, Albert, Gargallo-Peiró, Abel, Roca, Xevi, Jiménez Ramos, Albert, Gargallo Peiró, Abel, Roca Navarro, Francisco Javier |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 11 June 2024.
All research outputs
#23,442,239
of 26,115,614 outputs
Outputs from Lecture Notes in Computational Science and Engineering
#21
of 26 outputs
Outputs of similar age
#306,506
of 370,191 outputs
Outputs of similar age from Lecture Notes in Computational Science and Engineering
#1
of 3 outputs
Altmetric has tracked 26,115,614 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 5 of them.
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 370,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them