| Title |
Exhaled breath analysis for the early detection of lung cancer: recent developments and future prospects
|
|---|---|
| Published in |
Lung Cancer: Targets and Therapy, May 2017
|
| DOI | 10.2147/lctt.s104205 |
| Pubmed ID | |
| Authors |
Inbar Nardi-Agmon, Nir Peled |
| Abstract |
In lung cancer, the prognosis and treatment options depend directly on tumor size and its spread at the time of diagnosis. There is therefore a constant search for methods that will allow early detection of cancerous lung nodules. With advancing imaging technology and implantation of screening routines in high-risk populations by low-dose computerized tomography, a significant increase in the number of diagnosed small peripheral lesions can be expected. While early detection of small cancerous lesions carries the benefit of wider treatment options and better prognosis, the process of obtaining a biopsy to confirm a cancerous tissue is not free of complications and bears inconveniences and stress to the patient. This review discusses the potential use of exhaled breath analysis as a simple, noninvasive tool for early detection of lung cancer and characterization of suspicious lung nodules. |
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 States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 12% |
| Student > Bachelor | 18 | 12% |
| Student > Master | 14 | 10% |
| Researcher | 13 | 9% |
| Other | 9 | 6% |
| Other | 27 | 18% |
| Unknown | 47 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 17% |
| Engineering | 19 | 13% |
| Chemistry | 12 | 8% |
| Physics and Astronomy | 6 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Other | 25 | 17% |
| Unknown | 54 | 37% |
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 07 January 2019.
All research outputs
#8,618,954
of 25,584,565 outputs
Outputs from Lung Cancer: Targets and Therapy
#41
of 125 outputs
Outputs of similar age
#126,607
of 325,074 outputs
Outputs of similar age from Lung Cancer: Targets and Therapy
#2
of 2 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 62% 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 325,074 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 52% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.