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A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases

Overview of attention for article published in Journal of Translational Medicine, June 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

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14 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases
Published in
Journal of Translational Medicine, June 2020
DOI 10.1186/s12967-020-02407-8
Pubmed ID
Authors

Mi Jian, Li Ren, Guodong He, Qi Lin, Wentao Tang, Yijiao Chen, Jingwen Chen, Tianyu Liu, Meiling Ji, Ye Wei, Wenju Chang, Jianmin Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Researcher 3 9%
Lecturer 2 6%
Unspecified 2 6%
Student > Bachelor 2 6%
Other 4 13%
Unknown 14 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 4 13%
Unspecified 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Other 4 13%
Unknown 14 44%
Attention Score in Context

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 04 September 2020.
All research outputs
#13,682,547
of 23,215,490 outputs
Outputs from Journal of Translational Medicine
#1,621
of 4,085 outputs
Outputs of similar age
#201,420
of 399,175 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 61 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 58% 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 399,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.