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Nomogram to Predict the Probability of Relapse in Patients Diagnosed With Borderline Ovarian Tumors

Overview of attention for article published in International Journal of Gynecological Cancer, October 2012
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1 X user

Citations

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Title
Nomogram to Predict the Probability of Relapse in Patients Diagnosed With Borderline Ovarian Tumors
Published in
International Journal of Gynecological Cancer, October 2012
DOI 10.1097/igc.0b013e31827b8844
Pubmed ID
Authors

Andreas Obermair, Amy Tang, Srinivas Kondalsamy–Chennakesavan, Hextan Ngan, Petra Zusterzeel, Michael Quinn, Jonathan Carter, Yee Leung, Monika Janda

Abstract

This study aimed to develop a nomogram predicting the probability of relapse in individual patients who have surgery for borderline ovarian tumors (BOTs).

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Canada 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 24%
Student > Bachelor 2 12%
Professor 2 12%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 12 71%
Unknown 5 29%
Attention Score in Context

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 06 March 2013.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from International Journal of Gynecological Cancer
#2,203
of 3,440 outputs
Outputs of similar age
#158,201
of 202,204 outputs
Outputs of similar age from International Journal of Gynecological Cancer
#8
of 55 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 3,440 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 7th percentile – i.e., 7% 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 202,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.