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Data mining polycystic ovary morphology in electronic medical record ultrasound reports

Overview of attention for article published in Fertility Research and Practice, December 2019
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Data mining polycystic ovary morphology in electronic medical record ultrasound reports
Published in
Fertility Research and Practice, December 2019
DOI 10.1186/s40738-019-0067-7
Pubmed ID
Authors

Jay Jojo Cheng, Shruthi Mahalingaiah

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Master 3 27%
Researcher 1 9%
Student > Bachelor 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Agricultural and Biological Sciences 1 9%
Medicine and Dentistry 1 9%
Engineering 1 9%
Other 0 0%
Unknown 3 27%

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 13 December 2019.
All research outputs
#14,449,007
of 16,384,408 outputs
Outputs from Fertility Research and Practice
#30
of 38 outputs
Outputs of similar age
#320,874
of 385,743 outputs
Outputs of similar age from Fertility Research and Practice
#11
of 11 outputs
Altmetric has tracked 16,384,408 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one scored the same or higher as 8 of them.
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 385,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.