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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Analyzing the Tumor Microenvironment by Flow Cytometry.
|
|---|---|
| Chapter number | 8 |
| Book title |
The Tumor Microenvironment
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3801-8_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3799-8, 978-1-4939-3801-8
|
| Authors |
Yoon Kow Young, Alicia M. Bolt, Ryuhjin Ahn, Koren K. Mann, Young, Yoon Kow, Bolt, Alicia M., Ahn, Ryuhjin, Mann, Koren K. |
| Editors |
Josie Ursini-Siegel, Nicole Beauchemin |
| Abstract |
Flow cytometry is an essential tool for studying the tumor microenvironment. It allows us to quickly quantify and identify multiple cell types in a heterogeneous sample. A brief overview of flow cytometry instrumentation and the appropriate considerations and steps in building a good flow cytometry staining panel are discussed. In addition, a lymphoid tissue and solid tumor leukocyte infiltrate flow cytometry staining protocol and an example of flow cytometry data analysis are presented. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Bachelor | 5 | 14% |
| Other | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Immunology and Microbiology | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 December 2023.
All research outputs
#6,442,806
of 22,886,568 outputs
Outputs from Methods in molecular biology
#1,956
of 13,131 outputs
Outputs of similar age
#103,681
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#233
of 1,471 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. 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 393,711 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 72% of its contemporaries.
We're also able to compare this research output to 1,471 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.