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X Demographics
Mendeley readers
Attention Score in Context
Title |
Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning
|
---|---|
Published in |
BMC Cancer, April 2023
|
DOI | 10.1186/s12885-023-10855-w |
Pubmed ID | |
Authors |
Jiaxuan Peng, Wei Wang, Hui Jin, Xue Qin, Jie Hou, Zhang Yang, Zhenyu Shu |
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 % |
---|---|---|
Netherlands | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 1 | 6% |
Unknown | 14 | 82% |
Readers by discipline | Count | As % |
---|---|---|
Arts and Humanities | 1 | 6% |
Unspecified | 1 | 6% |
Unknown | 15 | 88% |
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 26 April 2023.
All research outputs
#18,423,400
of 23,660,057 outputs
Outputs from BMC Cancer
#5,137
of 8,490 outputs
Outputs of similar age
#159,397
of 247,182 outputs
Outputs of similar age from BMC Cancer
#55
of 98 outputs
Altmetric has tracked 23,660,057 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,490 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 34th percentile – i.e., 34% 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 247,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.