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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Characterization and Functional Phenotyping of Renal Immune Cells via Flow Cytometry
|
|---|---|
| Chapter number | 8 |
| Book title |
The Renin-Angiotensin-Aldosterone System
|
| Published in |
Methods in molecular biology, May 2017
|
| DOI | 10.1007/978-1-4939-7030-8_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7028-5, 978-1-4939-7030-8
|
| Authors |
Rudemiller, Nathan P., Crowley, Steven D., Nathan P. Rudemiller, Steven D. Crowley |
| Editors |
Sean E. Thatcher |
| Abstract |
A variety of immune cell subsets contribute to the pathogenesis of hypertension and associated kidney damage following inappropriate activation of the renin-angiotensin system (RAS). These immune cell subsets often express common surface markers, which complicates their separation and characterization in vivo. Accordingly, flow cytometry has become an invaluable tool for parsing immune cell populations because this technique permits the simultaneous detection of up to 18 markers on a single cell. Below we describe a process by which one can determine the immune cell subsets in the kidney via flow cytometry. |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 67% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 33% |
| Medicine and Dentistry | 1 | 33% |
| Unknown | 1 | 33% |
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 14 May 2017.
All research outputs
#14,807,805
of 22,971,207 outputs
Outputs from Methods in molecular biology
#4,658
of 13,146 outputs
Outputs of similar age
#182,340
of 309,527 outputs
Outputs of similar age from Methods in molecular biology
#86
of 250 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,146 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 64% 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 309,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 250 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 65% of its contemporaries.