The data shown below were collected from the profiles of 4 X users 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.
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 |
Corrigendum: Research on the mechanism of soybean resistance to Phytophthora infection using machine learning Methods
|
|---|---|
| Published in |
Frontiers in Genetics, October 2022
|
| DOI | 10.3389/fgene.2022.1062928 |
| Pubmed ID | |
| Authors |
Junxia Chi, Shizeng Song, Hao Zhang, Yuanning Liu, Hengyi Zhao, Liyan Dong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 November 2022.
All research outputs
#13,614,283
of 23,081,466 outputs
Outputs from Frontiers in Genetics
#3,322
of 12,125 outputs
Outputs of similar age
#178,209
of 443,082 outputs
Outputs of similar age from Frontiers in Genetics
#141
of 1,014 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,125 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 443,082 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 57% of its contemporaries.
We're also able to compare this research output to 1,014 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.