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Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer

Overview of attention for article published in Cancer Imaging, June 2019
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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11 Mendeley
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Title
Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer
Published in
Cancer Imaging, June 2019
DOI 10.1186/s40644-019-0228-2
Pubmed ID
Authors

Yang Zhou, Hong-Xia Zhang, Xiu-Shi Zhang, Yun-Feng Sun, Kuang-Bang He, Xi-Qiao Sang, Yue-Min Zhu, Zi-Xiang Kuai

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Doctoral Student 3 27%
Student > Bachelor 1 9%
Student > Master 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Medicine and Dentistry 6 55%
Computer Science 1 9%
Nursing and Health Professions 1 9%
Psychology 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
Attention Score in Context

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 18 September 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Cancer Imaging
#445
of 674 outputs
Outputs of similar age
#279,592
of 367,362 outputs
Outputs of similar age from Cancer Imaging
#20
of 29 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 10th percentile – i.e., 10% 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 367,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.