You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural killer cells: a promising immunotherapy for cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2022
|
| DOI | 10.1186/s12967-022-03437-0 |
| Pubmed ID | |
| Authors |
Junfeng Chu, Fengcai Gao, Meimei Yan, Shuang Zhao, Zheng Yan, Bian Shi, Yanyan Liu |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 16% |
| Researcher | 21 | 14% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 10 | 7% |
| Other | 5 | 3% |
| Other | 9 | 6% |
| Unknown | 64 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 17% |
| Immunology and Microbiology | 18 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 7% |
| Medicine and Dentistry | 8 | 5% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 17 | 12% |
| Unknown | 63 | 43% |
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 28 April 2023.
All research outputs
#15,278,190
of 25,541,640 outputs
Outputs from Journal of Translational Medicine
#1,919
of 4,670 outputs
Outputs of similar age
#203,375
of 445,003 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 117 outputs
Altmetric has tracked 25,541,640 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 56% 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 445,003 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 52% of its contemporaries.
We're also able to compare this research output to 117 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 61% of its contemporaries.