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Computed tomography measurement of pulmonary artery for diagnosis of COPD and its comorbidity pulmonary hypertension

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
12 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
22 Mendeley
Title
Computed tomography measurement of pulmonary artery for diagnosis of COPD and its comorbidity pulmonary hypertension
Published in
International Journal of Chronic Obstructive Pulmonary Disease, November 2015
DOI 10.2147/copd.s94211
Pubmed ID
Authors

Xuesong Chen, Kouying Liu, Zhiyue Wang, Yinsu Zhu, Yang Zhao, Weiping Xie, Hong Wang, Hui kong

Abstract

Computed tomography (CT) is widely used for evaluation of lung diseases. To evaluate the value of CT measurement of pulmonary artery for diagnosis of chronic obstructive pulmonary disease (COPD) and its comorbidity pulmonary hypertension (PH), we retrospectively reviewed the CT of 221 patients with COPD and 115 control patients without cardiovascular or lung disease. Patients with COPD were divided into PH (COPD-PH) and non-PH according to systolic pulmonary artery pressure. Main pulmonary artery (MPA), right pulmonary artery (RPA) and left pulmonary artery branches, and ascending aorta (AAo) and descending aorta (DAo) diameters were measured. Meanwhile, the ratios of MPA/AAo and MPA/DAo were calculated. MPA, RPA, and left pulmonary artery diameters were significantly larger in COPD than those in the controls, and this augment was more obvious in COPD-PH. AAo and DAo diameters did not vary obviously between groups, while MPA/AAo and MAP/DAo increased significantly in COPD and PH. MPA could be helpful for COPD diagnosis (MPA diameter ≥27.5 mm, sensitivity 54%, and specificity 80%), and RPA could be applied for COPD-PH diagnosis (RPA diameter ≥23.4 mm, sensitivity 67%, and specificity 76%). There was a marked correlation between MPA/DAo and systolic pulmonary artery pressure (r=0.594, P<0.001). Therefore, chest CT could be a simple and effective modality for diagnostic evaluation of COPD and its comorbidity, PH.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Researcher 4 18%
Other 3 14%
Student > Bachelor 2 9%
Student > Ph. D. Student 1 5%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Computer Science 2 9%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 5 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 04 January 2016.
All research outputs
#1,164,657
of 15,115,743 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#109
of 1,804 outputs
Outputs of similar age
#33,140
of 363,002 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#8
of 66 outputs
Altmetric has tracked 15,115,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,804 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 93% of its peers.
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 363,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.