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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Methods to Study Cell Swelling-Induced Inflammasome Activation
|
|---|---|
| Chapter number | 12 |
| Book title |
Innate Immune Activation
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7519-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7518-1, 978-1-4939-7519-8
|
| Authors |
Vincent Compan, Pablo Pelegrín, Compan, Vincent, Pelegrín, Pablo |
| Abstract |
Cells present ancestral conserved mechanisms to maintain their volume in response to alterations in environmental osmolarity. Changes in environmental osmolarities are therefore conserved as primitive stress signals. Innate immune cells, such as macrophages, express receptors to respond and shape immune response to stress, damage, or infection. The NLRP3 inflammasome is a multiprotein complex expressed in macrophages that senses pathogen- and danger-associated signals. The basic mechanisms of cell swelling and regulatory volume decrease are sensed by the NLRP3 inflammasome. Here, we present methods to study NLRP3 inflammasome activation in response to cell swelling. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Other | 2 | 8% |
| Unspecified | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Immunology and Microbiology | 4 | 17% |
| Agricultural and Biological Sciences | 4 | 17% |
| Chemical Engineering | 2 | 8% |
| Unspecified | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |
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 21 July 2018.
All research outputs
#17,920,654
of 23,009,818 outputs
Outputs from Methods in molecular biology
#7,286
of 13,157 outputs
Outputs of similar age
#310,320
of 442,295 outputs
Outputs of similar age from Methods in molecular biology
#868
of 1,498 outputs
Altmetric has tracked 23,009,818 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 13,157 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 442,295 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 1,498 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.