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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emerging mechanisms and novel targets in allergic inflammation and asthma
|
|---|---|
| Published in |
Genome Medicine, December 2017
|
| DOI | 10.1186/s13073-017-0501-6 |
| Pubmed ID | |
| Authors |
Scott T. Weiss |
| Abstract |
Airway inflammation is key to the severity and persistence of asthma. Recent studies have revealed novel immune mechanisms that target dendritic cells, T helper 2 cytokines, regulatory T cells, and type 2 innate lymphoid cells in allergic inflammation, as well as novel approaches that target airway smooth muscle in asthma. These advances inform the development of new targeted treatments for allergic inflammation and asthma with the potential to provide therapeutic benefit. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Other | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Master | 3 | 12% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 35% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 11 December 2017.
All research outputs
#7,542,164
of 23,009,818 outputs
Outputs from Genome Medicine
#1,136
of 1,448 outputs
Outputs of similar age
#151,065
of 439,388 outputs
Outputs of similar age from Genome Medicine
#32
of 34 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 18th percentile – i.e., 18% 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 439,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.