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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer
|
|---|---|
| Published in |
Frontiers in oncology, May 2022
|
| DOI | 10.3389/fonc.2022.904597 |
| Pubmed ID | |
| Authors |
Ying Feng, Zhixiang Wang, Meizhu Xiao, Jinfeng Li, Yuan Su, Bert Delvoux, Zhen Zhang, Andre Dekker, Sofia Xanthoulea, Zhiqiang Zhang, Alberto Traverso, Andrea Romano, Zhenyu Zhang, Chongdong Liu, Huiqiao Gao, Shuzhen Wang, Linxue Qian |
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 % |
|---|---|---|
| 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 20% |
| Unspecified | 1 | 10% |
| Unknown | 7 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Computer Science | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Engineering | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 5 | 50% |
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 17 June 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Frontiers in oncology
#15,927
of 22,436 outputs
Outputs of similar age
#377,561
of 444,311 outputs
Outputs of similar age from Frontiers in oncology
#1,013
of 1,636 outputs
Altmetric has tracked 25,392,582 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 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. 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 444,311 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 1,636 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.