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X Demographics
Mendeley readers
Attention Score in Context
Title |
Transcriptomic perspectives of memory-like NK cells and aging
|
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Published in |
Genome Medicine, May 2022
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DOI | 10.1186/s13073-022-01059-1 |
Pubmed ID | |
Authors |
Dandan Wang, Subramaniam Malarkannan |
Abstract |
A recent study highlights the presence of a unique memory-like natural killer (NK) cell subset, which accumulates with aging and appears to associate withdisease severity in COVID-19 patients. While the clinical relevance of memory in NK cells is being debated, the molecular identity of this subset in the form of a single-cell transcriptome is essential to define their origin, longevity, functions, and disease relevance. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 25% |
Student > Bachelor | 2 | 17% |
Professor | 1 | 8% |
Unspecified | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 2 | 17% |
Medicine and Dentistry | 2 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Chemical Engineering | 1 | 8% |
Social Sciences | 1 | 8% |
Other | 1 | 8% |
Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2022.
All research outputs
#13,227,671
of 23,312,088 outputs
Outputs from Genome Medicine
#1,217
of 1,456 outputs
Outputs of similar age
#170,221
of 442,033 outputs
Outputs of similar age from Genome Medicine
#31
of 33 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 442,033 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 60% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.