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X Demographics
Attention Score in Context
| Title |
Exact Values for Some Size Ramsey Numbers of Paths and Cycles
|
|---|---|
| Published in |
Frontiers in Physics, September 2020
|
| DOI | 10.3389/fphy.2020.00350 |
| Authors |
Xiangmei Li, Asfand Fahad, Xiaoqing Zhou, Hong Yang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 18 September 2020.
All research outputs
#20,642,821
of 23,243,271 outputs
Outputs from Frontiers in Physics
#1,652
of 3,667 outputs
Outputs of similar age
#349,356
of 408,076 outputs
Outputs of similar age from Frontiers in Physics
#71
of 182 outputs
Altmetric has tracked 23,243,271 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 3,667 research outputs from this source. They receive a mean Attention Score of 2.5. 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 408,076 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 182 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.