Adipose tissue is highly heterogeneous and plastic. Recent advances in single-cell/nucleus RNA sequencing technology have helped to study the cellular composition and dynamics of adipose tissue. In this protocol, I outline a typical workflow of analyzing single-cell/nucleus transcriptome data. Specifically, I show an example of how cellular populations are estimated and characterized from a single-nucleus RNAseq data set of frozen archived human adipose tissue.
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 25 May 2022.
All research outputs
#13,073,757
of 23,153,184 outputs
Outputs from Methods in molecular biology
#3,322
of 13,282 outputs
Outputs of similar age
#194,265
of 504,898 outputs
Outputs of similar age from Methods in molecular biology
#94
of 594 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,282 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 504,898 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 61% of its contemporaries.
We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.
