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Optimization of Response Classification Criteria for Patients with Malignant Pleural Mesothelioma

Overview of attention for article published in Journal of Thoracic Oncology, November 2012
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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4 X users

Citations

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17 Dimensions

Readers on

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25 Mendeley
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Title
Optimization of Response Classification Criteria for Patients with Malignant Pleural Mesothelioma
Published in
Journal of Thoracic Oncology, November 2012
DOI 10.1097/jto.0b013e318269fe21
Pubmed ID
Authors

Zacariah E. Labby, Samuel G. Armato, Hedy L. Kindler, James J. Dignam, Arman Hasani, Anna K. Nowak

Abstract

Response-assessment metrics play an important role in clinical trials and routine patient management. For patients with malignant pleural mesothelioma (MPM), the standard for response assessment is image-based measurements of tumor thickness made according to the modified RECIST (Response Evaluation Criteria in Solid Tumors) protocol. To classify tumor response, changes in tumor thickness are compared with the standard RECIST -30% and +20% cutoffs for partial response (PR) and progressive disease (PD), respectively, which are not specific to MPM. The purpose of this work is to optimize the correlation between tumor response and patient survival by assessing the validity of existing response criteria in MPM and proposing alternative criteria.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Other 3 12%
Student > Doctoral Student 3 12%
Researcher 3 12%
Professor > Associate Professor 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 13 52%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Unknown 8 32%
Attention Score in Context

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 01 November 2012.
All research outputs
#14,782,490
of 25,368,786 outputs
Outputs from Journal of Thoracic Oncology
#1,850
of 3,511 outputs
Outputs of similar age
#115,419
of 202,243 outputs
Outputs of similar age from Journal of Thoracic Oncology
#27
of 80 outputs
Altmetric has tracked 25,368,786 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 3,511 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 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 202,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 has gotten more attention than average, scoring higher than 65% of its contemporaries.