| Title |
PET-detected pneumonitis following curative-intent chemoradiation in non-small cell lung cancer (NSCLC): recognizing patterns and assessing the impact on the predictive ability of FDG-PET/CT response assessment
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, June 2019
|
| DOI | 10.1007/s00259-019-04388-3 |
| Pubmed ID | |
| Authors |
Amir Iravani, Guy-Anne Turgeon, Tim Akhurst, Jason W. Callahan, Mathias Bressel, Sarah J. Everitt, Shankar Siva, Michael S. Hofman, Rodney J. Hicks, David L. Ball, Michael P. Mac Manus |
X Demographics
The data shown below were collected from the profiles of 22 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 | 6 | 27% |
| Australia | 3 | 14% |
| United States | 2 | 9% |
| Belgium | 1 | 5% |
| Brazil | 1 | 5% |
| Colombia | 1 | 5% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| Mexico | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 50% |
| Scientists | 6 | 27% |
| Practitioners (doctors, other healthcare professionals) | 5 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Other | 2 | 9% |
| Lecturer | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 39% |
| Engineering | 2 | 9% |
| Computer Science | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 26 July 2020.
All research outputs
#2,463,785
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#180
of 3,083 outputs
Outputs of similar age
#53,168
of 355,481 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#6
of 59 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 99% 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 355,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.