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
| Title |
Biomarkers of collagen turnover are related to annual change in FEV1 in patients with chronic obstructive pulmonary disease within the ECLIPSE study
|
|---|---|
| Published in |
BMC Pulmonary Medicine, December 2017
|
| DOI | 10.1186/s12890-017-0505-4 |
| Pubmed ID | |
| Authors |
Diana J. Leeming, Inger Byrjalsen, Jannie M. B. Sand, Asger R. Bihlet, Peter Lange, The Evaluation of COPD Longitudinally to Identify Surrogate Endpoints (ECLIPSE) study investigators, Ruth Thal-Singer, Bruce E. Miller, Morten A. Karsdal, Jørgen Vestbo |
| Abstract |
Change in forced expiratory volume in one second (FEV1) is important for defining severity of chronic obstructive pulmonary disease (COPD). Serological neoepitope markers of collagen turnover may predict rate of change in FEV1. One thousand COPD subjects from the observational, multicentre, three-year ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) study (NCT00292552, trial registration in February 2006) were included. Matrix metalloproteinase (MMP)-generated fragments of collagen type I, and type VI (C1M and C6M) were assessed in month six serum samples. A random-coefficient model with both a random intercept and a random slope was used to test the ability of the markers to predict post-dose bronchodilator FEV1 (PD-FEV1) change over two years adjusting for sex, age, BMI, smoking, bronchodilator reversibility, prior exacerbations, emphysema and chronic bronchitis status at baseline. Annual change of PD-FEV1 was estimated from a linear model for the two-year study period. Serum C1M and C6M were independent predictors of lung function change (p = 0.007/0.005). Smoking, bronchodilator reversibility, plasma hsCRP and emphysema were also significant predictors. The effect estimate between annual change in PD-FEV1 per one standard deviation (1SD) increase of C1M and C6M was +10.4 mL/yr. and +8.6 mL/yr. C1M, and C6M, had a significant association with baseline FEV1. We demonstrated that markers of tissue turnover were significantly associated with lung function change. These markers may function as prognostic biomarkers and possibly as efficacy biomarkers in clinical trials focusing on lung function change in COPD. NCT00292552 , Retrospectively registered, trial registration in February 2006. |
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 % |
|---|---|---|
| United States | 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 26% |
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Other | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 10% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Immunology and Microbiology | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 21 | 31% |
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 03 January 2019.
All research outputs
#17,926,658
of 23,016,919 outputs
Outputs from BMC Pulmonary Medicine
#1,285
of 1,950 outputs
Outputs of similar age
#306,853
of 439,407 outputs
Outputs of similar age from BMC Pulmonary Medicine
#52
of 86 outputs
Altmetric has tracked 23,016,919 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 1,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 27th percentile – i.e., 27% 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 439,407 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 86 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.