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 |
A physical study of the LLL algorithm
|
|---|---|
| Published in |
Journal of Number Theory, March 2023
|
| DOI | 10.1016/j.jnt.2022.09.013 |
| Authors |
Jintai Ding, Seungki Kim, Tsuyoshi Takagi, Yuntao Wang, Bo-yin Yang |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 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 26 November 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Journal of Number Theory
#414
of 792 outputs
Outputs of similar age
#298,990
of 422,415 outputs
Outputs of similar age from Journal of Number Theory
#3
of 12 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 792 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 42nd percentile – i.e., 42% 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 422,415 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.