Title |
CAR-T Engineering: Optimizing Signal Transduction and Effector Mechanisms
|
---|---|
Published in |
BioDrugs, September 2019
|
DOI | 10.1007/s40259-019-00384-z |
Pubmed ID | |
Authors |
Emiliano Roselli, Jeremy S. Frieling, Konrad Thorner, María C. Ramello, Conor C. Lynch, Daniel Abate-Daga |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 21% |
Student > Ph. D. Student | 10 | 18% |
Researcher | 9 | 16% |
Student > Bachelor | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 2 | 4% |
Unknown | 14 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 27% |
Medicine and Dentistry | 7 | 13% |
Immunology and Microbiology | 7 | 13% |
Agricultural and Biological Sciences | 5 | 9% |
Nursing and Health Professions | 2 | 4% |
Other | 5 | 9% |
Unknown | 15 | 27% |
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 30 January 2020.
All research outputs
#14,172,976
of 23,164,913 outputs
Outputs from BioDrugs
#483
of 666 outputs
Outputs of similar age
#183,668
of 345,496 outputs
Outputs of similar age from BioDrugs
#5
of 7 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 666 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 26th percentile – i.e., 26% 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 345,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.