| Title |
Sputum microRNA Biomarkers for Identifying Lung Cancer in Indeterminate Solitary Pulmonary Nodules
|
|---|---|
| Published in |
Clinical Cancer Research, January 2015
|
| DOI | 10.1158/1078-0432.ccr-14-1873 |
| Pubmed ID | |
| Authors |
Lingxiao Xing, Jian Su, Maria A. Guarnera, Howard Zhang, Ling Cai, Rixin Zhou, Sanford A. Stass, Feng Jiang |
| Abstract |
The early detection of lung cancer in heavy smokers by low-dose CT (LDCT) can reduce the mortality. However, LDCT screening increases the number of indeterminate solitary pulmonary nodules (SPN) in asymptomatic individuals, leading to overdiagnosis. Making a definitive preoperative diagnosis of malignant SPNs has been a clinical challenge. We have demonstrated that sputum miRNAs could provide potential biomarkers for lung cancer. Here, we aimed to develop sputum miRNA biomarkers for diagnosis of malignant SPNs. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 10% |
| United Kingdom | 1 | 10% |
| Poland | 1 | 10% |
| Spain | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 7 | 10% |
| Other | 6 | 8% |
| Other | 15 | 21% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 36% |
| Biochemistry, Genetics and Molecular Biology | 12 | 17% |
| Agricultural and Biological Sciences | 8 | 11% |
| Computer Science | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 02 February 2015.
All research outputs
#848,518
of 22,778,347 outputs
Outputs from Clinical Cancer Research
#570
of 12,586 outputs
Outputs of similar age
#12,378
of 353,651 outputs
Outputs of similar age from Clinical Cancer Research
#7
of 194 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,586 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 95% 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 353,651 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 96% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.