The data shown below were collected from the profiles of 120 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Blood natural killer cell deficiency reveals an immunotherapy strategy for atopic dermatitis
|
|---|---|
| Published in |
Science Translational Medicine, February 2020
|
| DOI | 10.1126/scitranslmed.aay1005 |
| Pubmed ID | |
| Authors |
Madison R Mack, Jonathan R Brestoff, Melissa M Berrien-Elliott, Anna M Trier, Ting-Lin B Yang, Matthew McCullen, Patrick L Collins, Haixia Niu, Nancy D Bodet, Julia A Wagner, Eugene Park, Amy Z Xu, Fang Wang, Rebecca Chibnall, M Laurin Council, Carrie Heffington, Friederike Kreisel, David J Margolis, David Sheinbein, Paola Lovato, Eric Vivier, Marina Cella, Marco Colonna, Wayne M Yokoyama, Eugene M Oltz, Todd A Fehniger, Brian S Kim |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 20% |
| France | 2 | 2% |
| India | 1 | <1% |
| Korea, Democratic People's Republic of | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Thailand | 1 | <1% |
| Venezuela, Bolivarian Republic of | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 84 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 76 | 63% |
| Scientists | 31 | 26% |
| Practitioners (doctors, other healthcare professionals) | 7 | 6% |
| Science communicators (journalists, bloggers, editors) | 6 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 26% |
| Student > Master | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Other | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 34 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 23 | 22% |
| Agricultural and Biological Sciences | 11 | 11% |
| Medicine and Dentistry | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 32 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 151. 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 14 September 2020.
All research outputs
#287,243
of 26,370,058 outputs
Outputs from Science Translational Medicine
#829
of 5,196 outputs
Outputs of similar age
#7,741
of 386,777 outputs
Outputs of similar age from Science Translational Medicine
#17
of 111 outputs
Altmetric has tracked 26,370,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 94.0. This one has done well, scoring higher than 84% 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 386,777 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 97% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.