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Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country- Malaysia

Overview of attention for article published in BMC Bioinformatics, February 2019
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
134 Mendeley
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Title
Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country- Malaysia
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-018-2406-9
Pubmed ID
Authors

Nurul Aqilah Mohd Nor, Nur Aishah Taib, Marniza Saad, Hana Salwani Zaini, Zahir Ahmad, Yamin Ahmad, Sarinder Kaur Dhillon

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

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 16%
Student > Ph. D. Student 15 11%
Student > Bachelor 13 10%
Researcher 11 8%
Student > Postgraduate 6 4%
Other 22 16%
Unknown 45 34%
Readers by discipline Count As %
Medicine and Dentistry 19 14%
Computer Science 17 13%
Social Sciences 12 9%
Nursing and Health Professions 11 8%
Business, Management and Accounting 7 5%
Other 20 15%
Unknown 48 36%

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 February 2019.
All research outputs
#11,293,332
of 14,249,108 outputs
Outputs from BMC Bioinformatics
#4,435
of 5,369 outputs
Outputs of similar age
#234,676
of 322,007 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 41 outputs
Altmetric has tracked 14,249,108 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 5,369 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 8th percentile – i.e., 8% 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 322,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.