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Computerized database management system for breast cancer patients

Overview of attention for article published in SpringerPlus, May 2014
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Mentioned by

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2 tweeters

Citations

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4 Dimensions

Readers on

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14 Mendeley
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Title
Computerized database management system for breast cancer patients
Published in
SpringerPlus, May 2014
DOI 10.1186/2193-1801-3-268
Pubmed ID
Authors

Kok Swee Sim, Sze Siang Chong, Chih Ping Tso, Mohsen Esmaeili Nia, Aun Kee Chong, Siti Fathimah Abbas

Abstract

Data analysis based on breast cancer risk factors such as age, race, breastfeeding, hormone replacement therapy, family history, and obesity was conducted on breast cancer patients using a new enhanced computerized database management system. My Structural Query Language (MySQL) is selected as the application for database management system to store the patient data collected from hospitals in Malaysia. An automatic calculation tool is embedded in this system to assist the data analysis. The results are plotted automatically and a user-friendly graphical user interface is developed that can control the MySQL database. Case studies show breast cancer incidence rate is highest among Malay women, followed by Chinese and Indian. The peak age for breast cancer incidence is from 50 to 59 years old. Results suggest that the chance of developing breast cancer is increased in older women, and reduced with breastfeeding practice. The weight status might affect the breast cancer risk differently. Additional studies are needed to confirm these findings.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 36%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Unspecified 1 7%
Other 1 7%
Other 3 21%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 3 21%
Medicine and Dentistry 3 21%
Decision Sciences 1 7%
Business, Management and Accounting 1 7%
Other 2 14%

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 29 May 2014.
All research outputs
#4,502,850
of 6,415,088 outputs
Outputs from SpringerPlus
#869
of 1,574 outputs
Outputs of similar age
#83,917
of 133,763 outputs
Outputs of similar age from SpringerPlus
#37
of 49 outputs
Altmetric has tracked 6,415,088 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,574 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 39th percentile – i.e., 39% 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 133,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.