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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Generation of Potent T-cell Immunotherapy for Cancer Using DAP12-Based, Multichain, Chimeric Immunoreceptors
|
---|---|
Published in |
Cancer Immunology Research, July 2015
|
DOI | 10.1158/2326-6066.cir-15-0054 |
Pubmed ID | |
Authors |
Enxiu Wang, Liang-Chuan Wang, Ching-Yi Tsai, Vijay Bhoj, Zack Gershenson, Edmund Moon, Kheng Newick, Jing Sun, Albert Lo, Timothy Baradet, Michael D. Feldman, David Barrett, Ellen Puré, Steven Albelda, Michael C. Milone |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
United Kingdom | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 139 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 21% |
Student > Ph. D. Student | 21 | 15% |
Student > Master | 14 | 10% |
Other | 10 | 7% |
Student > Bachelor | 9 | 6% |
Other | 23 | 16% |
Unknown | 35 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 26 | 18% |
Medicine and Dentistry | 23 | 16% |
Agricultural and Biological Sciences | 19 | 13% |
Immunology and Microbiology | 17 | 12% |
Engineering | 6 | 4% |
Other | 15 | 11% |
Unknown | 35 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 10 September 2024.
All research outputs
#2,033,129
of 26,080,956 outputs
Outputs from Cancer Immunology Research
#218
of 1,613 outputs
Outputs of similar age
#24,412
of 279,039 outputs
Outputs of similar age from Cancer Immunology Research
#4
of 36 outputs
Altmetric has tracked 26,080,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 86% 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 279,039 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 91% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.