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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intracavity generation of glioma stem cell–specific CAR macrophages primes locoregional immunity for postoperative glioblastoma therapy
|
|---|---|
| Published in |
Science Translational Medicine, August 2022
|
| DOI | 10.1126/scitranslmed.abn1128 |
| Pubmed ID | |
| Authors |
Chen Chen, Weiqiang Jing, Yu Chen, Ganyu Wang, Mohnad Abdalla, Lin Gao, Maosen Han, Chongdeng Shi, Anning Li, Peng Sun, Xin Jiang, Zhenmei Yang, Shengchang Zhang, Jing Zhang, Chunwei Tang, Ying Liu, Rui Zhang, Fengbo Xu, Baixiang Dong, Xueen Li, Minglu Liu, Bangming Qiang, Yanhua Sun, Xia Wei, Jun Li, Quanyin Hu, Xinyi Jiang |
X Demographics
The data shown below were collected from the profiles of 93 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 | 19 | 20% |
| United Kingdom | 4 | 4% |
| India | 3 | 3% |
| Japan | 3 | 3% |
| Spain | 2 | 2% |
| Uganda | 2 | 2% |
| Germany | 2 | 2% |
| France | 2 | 2% |
| Italy | 1 | 1% |
| Other | 18 | 19% |
| Unknown | 37 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 77% |
| Scientists | 14 | 15% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Researcher | 14 | 13% |
| Student > Bachelor | 10 | 9% |
| Student > Master | 6 | 6% |
| Professor | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 42 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 21% |
| Immunology and Microbiology | 7 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Engineering | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Other | 17 | 16% |
| Unknown | 45 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 240. 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 08 February 2024.
All research outputs
#160,348
of 25,847,449 outputs
Outputs from Science Translational Medicine
#498
of 5,130 outputs
Outputs of similar age
#4,824
of 434,451 outputs
Outputs of similar age from Science Translational Medicine
#23
of 84 outputs
Altmetric has tracked 25,847,449 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,130 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.9. 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 434,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 84 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 72% of its contemporaries.