| Title |
Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF)
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, July 2019
|
| DOI | 10.1007/s00259-019-04386-5 |
| Pubmed ID | |
| Authors |
Francesco Fraioli, Maria Lyasheva, Joanna C. Porter, Jamshed Bomanji, Robert I. Shortman, Raymond Endozo, Simon Wan, Linda Bertoletti, Maria Machado, Balaji Ganeshan, Thida Win, Ashley M. Groves |
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 Kingdom | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 5 | 17% |
| Other | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 43% |
| Computer Science | 2 | 7% |
| Arts and Humanities | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 33% |
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 05 October 2020.
All research outputs
#13,696,611
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#1,650
of 3,083 outputs
Outputs of similar age
#167,058
of 348,591 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#45
of 80 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 348,591 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 51% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.