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Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment

Overview of attention for article published in Cancer Imaging, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment
Published in
Cancer Imaging, March 2022
DOI 10.1186/s40644-022-00452-8
Pubmed ID
Authors

Zhijun Ye, Gang Ning, Xuesheng Li, Tong San Koh, Huizhu Chen, Wanjing Bai, Haibo Qu

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Unknown 4 80%
Readers by discipline Count As %
Philosophy 1 20%
Computer Science 1 20%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 March 2022.
All research outputs
#13,652,665
of 21,980,322 outputs
Outputs from Cancer Imaging
#197
of 573 outputs
Outputs of similar age
#170,590
of 339,054 outputs
Outputs of similar age from Cancer Imaging
#1
of 1 outputs
Altmetric has tracked 21,980,322 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 573 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 64% 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 339,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them