↓ Skip to main content

Application of droplet digital PCR for the detection of vector copy number in clinical CAR/TCR T cell products

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

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Readers on

mendeley
21 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
Application of droplet digital PCR for the detection of vector copy number in clinical CAR/TCR T cell products
Published in
Journal of Translational Medicine, May 2020
DOI 10.1186/s12967-020-02358-0
Pubmed ID
Authors

Alex Lu, Hui Liu, Rongye Shi, Yihua Cai, Jinxia Ma, Lipei Shao, Victor Rong, Nikolaos Gkitsas, Hong Lei, Steven L. Highfill, Sandhya Panch, David F. Stroncek, Ping Jin

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 48%
Other 3 14%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Lecturer 1 5%
Other 0 0%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Immunology and Microbiology 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Nursing and Health Professions 1 5%
Other 2 10%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 April 2021.
All research outputs
#2,390,665
of 17,549,474 outputs
Outputs from Journal of Translational Medicine
#387
of 3,226 outputs
Outputs of similar age
#61,202
of 285,641 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 17,549,474 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,226 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 87% 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 285,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
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