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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Machine Learning Algorithms to Predict Lymph Node Metastasis in Early Gastric Cancer
|
|---|---|
| Published in |
Frontiers in Medicine, January 2022
|
| DOI | 10.3389/fmed.2021.759013 |
| Pubmed ID | |
| Authors |
HuaKai Tian, ZhiKun Ning, Zhen Zong, Jiang Liu, CeGui Hu, HouQun Ying, Hui Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Computer Science | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 5 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 August 2024.
All research outputs
#8,712,764
of 26,504,585 outputs
Outputs from Frontiers in Medicine
#2,353
of 7,616 outputs
Outputs of similar age
#186,979
of 533,107 outputs
Outputs of similar age from Frontiers in Medicine
#189
of 637 outputs
Altmetric has tracked 26,504,585 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 68% 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 533,107 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 64% of its contemporaries.
We're also able to compare this research output to 637 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.