Article
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Attention Score in Context
| Chapter title |
Phenotyping Tumor-Associated Macrophages
|
|---|---|
| Book title |
Macrophages
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7837-3_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7836-6, 978-1-4939-7837-3
|
| Authors |
R. Ian Cumming, Yen-Rei A. Yu |
| Abstract |
Multi-parametric flow cytometry of tumor-bearing murine nonlymphoid tissue allows for characterization, isolation, and examination of immune cell composition, phenotype, and function. Here we describe an approach to process nonlymphoid tissues and then utilize a base antibody panel to define all of the major immune cell types in a single staining condition. This panel can be used to phenotype tumor-associated macrophages. |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 16% |
| Researcher | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Agricultural and Biological Sciences | 2 | 11% |
| Chemical Engineering | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 37% |
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 17 May 2018.
All research outputs
#14,987,707
of 23,055,429 outputs
Outputs from Methods in molecular biology
#4,747
of 13,196 outputs
Outputs of similar age
#255,890
of 442,477 outputs
Outputs of similar age from Methods in molecular biology
#509
of 1,499 outputs
Altmetric has tracked 23,055,429 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 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 59% 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 442,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 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 60% of its contemporaries.