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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimization of metabolism to improve efficacy during CAR-T cell manufacturing
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2021
|
| DOI | 10.1186/s12967-021-03165-x |
| Pubmed ID | |
| Authors |
Meng Zhang, Xin Jin, Rui Sun, Xia Xiong, Jiaxi Wang, Danni Xie, MingFeng Zhao |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Russia | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Ph. D. Student | 14 | 16% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 10 | 12% |
| Other | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 28 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Immunology and Microbiology | 11 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Engineering | 6 | 7% |
| Agricultural and Biological Sciences | 6 | 7% |
| Other | 9 | 10% |
| Unknown | 30 | 35% |
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 17 December 2021.
All research outputs
#13,751,991
of 23,314,015 outputs
Outputs from Journal of Translational Medicine
#1,636
of 4,115 outputs
Outputs of similar age
#216,108
of 509,137 outputs
Outputs of similar age from Journal of Translational Medicine
#31
of 85 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,115 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 gotten more attention than average, scoring higher than 58% 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 509,137 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 55% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.