| Title |
Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients
|
|---|---|
| Published in |
Radiation Oncology, January 2019
|
| DOI | 10.1186/s13014-018-1204-x |
| Pubmed ID | |
| Authors |
Yinnan Meng, Haihua Yang, Wei Wang, Xingni Tang, Caiping Jiang, Yichao Shen, Wei Luo |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 36% |
| Singapore | 1 | 9% |
| Philippines | 1 | 9% |
| Mexico | 1 | 9% |
| Saudi Arabia | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 20% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 30% |
| Nursing and Health Professions | 2 | 10% |
| Engineering | 2 | 10% |
| Physics and Astronomy | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 January 2019.
All research outputs
#4,822,215
of 23,267,128 outputs
Outputs from Radiation Oncology
#201
of 2,090 outputs
Outputs of similar age
#110,034
of 439,273 outputs
Outputs of similar age from Radiation Oncology
#8
of 37 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,090 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 90% 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 439,273 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 74% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.