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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-resolution CT scoring system-based grading scale predicts the clinical outcomes in patients with idiopathic pulmonary fibrosis
|
|---|---|
| Published in |
Respiratory Research, January 2014
|
| DOI | 10.1186/1465-9921-15-10 |
| Pubmed ID | |
| Authors |
Keishi Oda, Hiroshi Ishimoto, Kazuhiro Yatera, Keisuke Naito, Takaaki Ogoshi, Kei Yamasaki, Tomotoshi Imanaga, Toru Tsuda, Hiroyuki Nakao, Toshinori Kawanami, Hiroshi Mukae |
| Abstract |
The 2011 idiopathic pulmonary fibrosis (IPF) guidelines are based on the diagnosis of IPF using only high-resolution computed tomography (HRCT). However, few studies have thus far reviewed the usefulness of the HRCT scoring system based on the grading scale provided in the guidelines. We retrospectively studied 98 patients with respect to assess the prognostic value of changes in HRCT findings using a new HRCT scoring system based on the grading scale published in the guidelines. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Unknown | 107 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 19 | 18% |
| Researcher | 15 | 14% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 11 | 10% |
| Student > Postgraduate | 10 | 9% |
| Other | 16 | 15% |
| Unknown | 24 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 47% |
| Engineering | 7 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 30 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 March 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Respiratory Research
#2,216
of 3,062 outputs
Outputs of similar age
#203,610
of 322,827 outputs
Outputs of similar age from Respiratory Research
#19
of 35 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 18th percentile – i.e., 18% 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 322,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.