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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Flow Cytometry for the Immunotoxicologist
|
|---|---|
| Chapter number | 12 |
| Book title |
Immunotoxicity Testing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8549-4_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8548-7, 978-1-4939-8549-4
|
| Authors |
Scott T. Espenschied, Robert M. Tighe, Kymberly M. Gowdy |
| Abstract |
Assessing the immunotoxicity of xenobiotics by current regulatory testing has revealed compounds that can cause immunosuppression and stimulation. Flow cytometry is a cutting edge technique that can provide data on how toxicants can alter the quality and quantity of the immune response after exposure. Here we describe protocols for how to use flow cytometry to measure the immune response in multiple rodent organs (blood and lymphoid and nonlymphoid) as well as in novel models recently being utilized in the field of toxicology. These methods can be used for current testing and to determine mechanisms by which a xenobiotic can cause immunotoxicity. |
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 % |
|---|---|---|
| Curaçao | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 25% |
| Librarian | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Earth and Planetary Sciences | 1 | 13% |
| Design | 1 | 13% |
| Unknown | 3 | 38% |
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 08 September 2018.
All research outputs
#17,980,413
of 23,090,520 outputs
Outputs from Methods in molecular biology
#7,313
of 13,206 outputs
Outputs of similar age
#310,675
of 442,634 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 442,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.