You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Molecular Genetics of Asthma
|
|---|---|
| Chapter number | 15 |
| Book title |
Molecular Genetics of Asthma
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3652-6_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3650-2, 978-1-4939-3652-6
|
| Authors |
Marqués-García, Fernando, Marcos-Vadillo, Elena, Fernando Marqués-García, Elena Marcos-Vadillo |
| Abstract |
The diversity of asthma phenotypes increases its complexity. Animal models represent a useful tool to elucidate the pathophysiological mechanisms involved in both allergic and nonallergic asthma, as well as to identify potential targets for the development of new treatments. Among all available animal models, mice offer significant advantages for the study of asthma. In this chapter, the applications of mouse models to the study of asthma will be reviewed. |
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 % |
|---|---|---|
| Unknown | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Student > Master | 2 | 13% |
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 5 | 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 21 December 2017.
All research outputs
#15,377,977
of 22,877,793 outputs
Outputs from Methods in molecular biology
#5,350
of 13,131 outputs
Outputs of similar age
#230,977
of 393,697 outputs
Outputs of similar age from Methods in molecular biology
#544
of 1,471 outputs
Altmetric has tracked 22,877,793 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 13,131 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 393,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
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 is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.