Title |
Detection of lung cancer relapse using self-reported symptoms transmitted via an Internet Web-application: pilot study of the sentinel follow-up
|
---|---|
Published in |
Supportive Care in Cancer, January 2014
|
DOI | 10.1007/s00520-013-2111-1 |
Pubmed ID | |
Authors |
Fabrice Denis, Louise Viger, Alexandre Charron, Eric Voog, Olivier Dupuis, Yoann Pointreau, Christophe Letellier |
Abstract |
We aimed to investigate whether patient self-evaluated symptoms transmitted via Internet can be used between planned visits to provide an early indication of disease relapse in lung cancer. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Vietnam | 1 | 20% |
Sweden | 1 | 20% |
Australia | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 17% |
Researcher | 12 | 17% |
Other | 11 | 16% |
Student > Master | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 14 | 20% |
Unknown | 10 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 33% |
Nursing and Health Professions | 5 | 7% |
Computer Science | 4 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Social Sciences | 3 | 4% |
Other | 16 | 23% |
Unknown | 15 | 22% |
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 31 March 2015.
All research outputs
#12,699,089
of 22,741,406 outputs
Outputs from Supportive Care in Cancer
#2,307
of 4,557 outputs
Outputs of similar age
#154,068
of 305,218 outputs
Outputs of similar age from Supportive Care in Cancer
#64
of 104 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 48th percentile – i.e., 48% 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 305,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.