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X Demographics
Attention Score in Context
| Title |
Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma
|
|---|---|
| Published in |
Frontiers in oncology, February 2024
|
| DOI | 10.3389/fonc.2024.1308317 |
| Pubmed ID | |
| Authors |
Yating Wang, Genji Bai, Min Huang, Wei Chen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 24 February 2024.
All research outputs
#23,208,433
of 25,864,668 outputs
Outputs from Frontiers in oncology
#16,270
of 22,819 outputs
Outputs of similar age
#275,557
of 340,173 outputs
Outputs of similar age from Frontiers in oncology
#676
of 809 outputs
Altmetric has tracked 25,864,668 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 22,819 research outputs from this source. They receive a mean Attention Score of 3.1. 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 340,173 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 809 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.