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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, December 2022
|
| DOI | 10.3389/fmolb.2022.937242 |
| Pubmed ID | |
| Authors |
Cheng Zhang, Yi Zhang, Ya-Hui Yang, Hui Xu, Xiao-Peng Zhang, Zhi-Jun Wu, Min-Min Xie, Ying Feng, Chong Feng, Tai Ma |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 5 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 5 | 63% |
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 25 December 2022.
All research outputs
#17,048,461
of 25,054,594 outputs
Outputs from Frontiers in Molecular Biosciences
#1,911
of 4,598 outputs
Outputs of similar age
#274,270
of 485,494 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#127
of 295 outputs
Altmetric has tracked 25,054,594 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,598 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 55% 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 485,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 295 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 53% of its contemporaries.