↓ Skip to main content

Using hospital discharge data to identify incident pregnancy-associated cancers: a validation study

Overview of attention for article published in BMC Pregnancy and Childbirth, February 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using hospital discharge data to identify incident pregnancy-associated cancers: a validation study
Published in
BMC Pregnancy and Childbirth, February 2013
DOI 10.1186/1471-2393-13-37
Pubmed ID
Authors

Yuen Yi Cathy Lee, Christine L Roberts, Jane Young, Timothy Dobbins

Abstract

Pregnancy-associated cancer is associated with maternal morbidities and adverse pregnancy outcomes, and is reported to be increasing. Hospital discharge data have the potential to provide timely information on cancer incidence, which is central to evaluation and improvement of clinical care for women. This study aimed to assess the validity of hospital data for identifying incident pregnancy-associated cancers compared with incident cancers from an Australian population-based statutory cancer registry.

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 32%
Researcher 6 24%
Student > Postgraduate 3 12%
Student > Master 2 8%
Lecturer 1 4%
Other 4 16%
Unknown 1 4%
Readers by discipline Count As %
Medicine and Dentistry 12 48%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Economics, Econometrics and Finance 2 8%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 4 16%
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 12 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from BMC Pregnancy and Childbirth
#3,445
of 4,157 outputs
Outputs of similar age
#222,745
of 287,600 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#75
of 82 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,157 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 9th percentile – i.e., 9% 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 287,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.