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X Demographics
Mendeley readers
Attention Score in Context
Title |
Modeling Tumor Dynamics and Overall Survival in Advanced Non–Small-Cell Lung Cancer Treated with Erlotinib
|
---|---|
Published in |
Journal of Thoracic Oncology, January 2015
|
DOI | 10.1097/jto.0000000000000330 |
Pubmed ID | |
Authors |
Ahmed Abbas Suleiman, Sebastian Frechen, Matthias Scheffler, Thomas Zander, Deniz Kahraman, Carsten Kobe, Jürgen Wolf, Lucia Nogova, Uwe Fuhr |
Abstract |
Pharmacostatistical models can quantify different relationships and improve decision making in personalized medicine and drug development. Our objectives were to develop models describing non-small-cell lung cancer (NSCLC) dynamics during first-line treatment with erlotinib, and survival of the cohort. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 2% |
Unknown | 48 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 22% |
Researcher | 7 | 14% |
Student > Bachelor | 4 | 8% |
Lecturer | 3 | 6% |
Student > Master | 3 | 6% |
Other | 7 | 14% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 8% |
Psychology | 3 | 6% |
Agricultural and Biological Sciences | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Other | 8 | 16% |
Unknown | 18 | 37% |
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 08 January 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Thoracic Oncology
#2,613
of 3,511 outputs
Outputs of similar age
#266,628
of 359,515 outputs
Outputs of similar age from Journal of Thoracic Oncology
#49
of 69 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 6th percentile – i.e., 6% 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 359,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.