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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer quantification of airway collapse on forced expiration to predict the presence of emphysema
|
|---|---|
| Published in |
Respiratory Research, November 2013
|
| DOI | 10.1186/1465-9921-14-131 |
| Pubmed ID | |
| Authors |
Marko Topalovic, Vasileios Exadaktylos, Anneleen Peeters, Johan Coolen, Walter Dewever, Martijn Hemeryck, Pieter Slagmolen, Karl Janssens, Daniel Berckmans, Marc Decramer, Wim Janssens |
| Abstract |
Spirometric parameters are the mainstay for diagnosis of COPD, but cannot distinguish airway obstruction from emphysema. We aimed to develop a computer model that quantifies airway collapse on forced expiratory flow-volume loops. We then explored and validated the relationship of airway collapse with computed tomography (CT) diagnosed emphysema in two large independent cohorts. |
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 % |
|---|---|---|
| United Kingdom | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Researcher | 8 | 17% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 34% |
| Agricultural and Biological Sciences | 5 | 11% |
| Nursing and Health Professions | 5 | 11% |
| Engineering | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
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 20 November 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Respiratory Research
#2,702
of 3,062 outputs
Outputs of similar age
#241,391
of 315,608 outputs
Outputs of similar age from Respiratory Research
#24
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 3rd percentile – i.e., 3% 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 315,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.