↓ Skip to main content

PDX models of human lung squamous cell carcinoma: consideration of factors in preclinical and co-clinical applications

Overview of attention for article published in Journal of Translational Medicine, August 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
PDX models of human lung squamous cell carcinoma: consideration of factors in preclinical and co-clinical applications
Published in
Journal of Translational Medicine, August 2020
DOI 10.1186/s12967-020-02473-y
Pubmed ID
Authors

Hae-Yun Jung, Tae Ho Kim, Jong-Eun Lee, Hong Kwan Kim, Jong Ho Cho, Yong Soo Choi, Sumin Shin, Se-Hoon Lee, Hwanseok Rhee, Hee Kyung Lee, Hyun Jung Choi, Hye Yoon Jang, Seungjae Lee, Jung Hee Kang, Young Ae Choi, Sanghyuk Lee, Jinseon Lee, Yoon La Choi, Jhingook Kim

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Student > Ph. D. Student 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Biochemistry, Genetics and Molecular Biology 3 20%
Nursing and Health Professions 1 7%
Economics, Econometrics and Finance 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 5 33%
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 08 August 2020.
All research outputs
#18,739,545
of 23,228,787 outputs
Outputs from Journal of Translational Medicine
#3,014
of 4,090 outputs
Outputs of similar age
#300,893
of 398,886 outputs
Outputs of similar age from Journal of Translational Medicine
#81
of 93 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,090 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 398,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.