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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Isolation and Characterization of Human Lung Myeloid Cells
|
|---|---|
| Chapter number | 9 |
| Book title |
Lung Innate Immunity and Inflammation
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8570-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8569-2, 978-1-4939-8570-8
|
| Authors |
Yen-Rei A. Yu, Robert M. Tighe, Yu, Yen-Rei A., Tighe, Robert M. |
| Abstract |
Multiparameter flow cytometry of human lungs allows for characterization, isolation, and examination of human pulmonary immune cell composition, phenotype, and function. Here we describe an approach to process lung tissues and then utilize a base antibody panel to define all of the major immune cell types in a single staining condition. This base antibody panel can also be used to identify major immune cell types in human blood and bronchoalveolar lavage (BAL) fluid. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Student > Bachelor | 2 | 22% |
| Researcher | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 44% |
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 July 2018.
All research outputs
#15,539,088
of 23,094,276 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#270,134
of 442,658 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.