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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
|
|---|---|
| Published in |
Respiratory Research, January 2017
|
| DOI | 10.1186/s12931-016-0484-7 |
| Pubmed ID | |
| Authors |
Marko Topalovic, Vasileios Exadaktylos, Thierry Troosters, Geert Celis, Jean-Marie Aerts, Wim Janssens |
| Abstract |
Specific resistance loops appear in different shapes influenced by different resistive properties of the airways, yet their descriptive ability is compressed to a single parameter - its slope. We aimed to develop new parameters reflecting the various shapes of the loop and to explore their potential in the characterisation of obstructive airways diseases. Our study included 134 subjects: Healthy controls (N = 22), Asthma with non-obstructive lung function (N = 22) and COPD of all disease stages (N = 90). Different shapes were described by geometrical and second-order transfer function parameters. Our parameters demonstrated no difference between asthma and healthy controls groups, but were significantly different (p < 0.0001) from the patients with COPD. Grouping mild COPD subjects by an open or not-open shape of the resistance loop revealed significant differences of loop parameters and classical lung function parameters. Multiple logistic regression indicated RV/TLC as the only predictor of loop opening with OR = 1.157, 95% CI (1.064-1.267), p-value = 0.0006 and R(2) = 0.35. Inducing airway narrowing in asthma gave equal shape measures as in COPD non-openers, but with a decreased slope (p < 0.0001). This study introduces new parameters calculated from the resistance loops which may correlate with different phenotypes of obstructive airways diseases. |
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 | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Computer Science | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 16 | 42% |
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 03 December 2017.
All research outputs
#14,913,921
of 25,373,627 outputs
Outputs from Respiratory Research
#1,499
of 3,062 outputs
Outputs of similar age
#220,425
of 422,731 outputs
Outputs of similar age from Respiratory Research
#20
of 50 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 48th percentile – i.e., 48% 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 422,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.