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Patient-derived xenograft (PDX) models, applications and challenges in cancer research

Overview of attention for article published in Journal of Translational Medicine, May 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
136 Mendeley
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Title
Patient-derived xenograft (PDX) models, applications and challenges in cancer research
Published in
Journal of Translational Medicine, May 2022
DOI 10.1186/s12967-022-03405-8
Pubmed ID
Authors

Shahrokh Abdolahi, Zeinab Ghazvinian, Samad Muhammadnejad, Mahshid Saleh, Hamid Asadzadeh Aghdaei, Kaveh Baghaei

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 11%
Student > Bachelor 15 11%
Student > Ph. D. Student 12 9%
Student > Master 11 8%
Student > Doctoral Student 7 5%
Other 10 7%
Unknown 66 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 21%
Medicine and Dentistry 13 10%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Immunology and Microbiology 3 2%
Agricultural and Biological Sciences 2 1%
Other 10 7%
Unknown 73 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 August 2023.
All research outputs
#7,130,579
of 25,223,158 outputs
Outputs from Journal of Translational Medicine
#1,155
of 4,592 outputs
Outputs of similar age
#133,687
of 435,470 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 110 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 74% 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 435,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.