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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 21% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 6 | 8% |
| Other | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 29 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 21% |
| Agricultural and Biological Sciences | 10 | 13% |
| Medicine and Dentistry | 6 | 8% |
| Immunology and Microbiology | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 26 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 May 2023.
All research outputs
#2,276,918
of 23,053,169 outputs
Outputs from Journal of Translational Medicine
#368
of 4,040 outputs
Outputs of similar age
#61,000
of 382,515 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 69 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,040 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 done particularly well, scoring higher than 90% 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 382,515 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 84% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.