↓ Skip to main content

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2021
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 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
Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
Published in
BMC Medical Informatics and Decision Making, January 2021
DOI 10.1186/s12911-020-01364-y
Pubmed ID
Authors

Yiqing Zhao, Saravut J. Weroha, Ellen L. Goode, Hongfang Liu, Chen Wang

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 16%
Student > Master 3 16%
Student > Bachelor 3 16%
Researcher 2 11%
Other 1 5%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Unspecified 3 16%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Mathematics 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 11%
Unknown 8 42%

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 08 January 2021.
All research outputs
#16,046,857
of 18,156,586 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,532
of 1,649 outputs
Outputs of similar age
#349,410
of 415,439 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#149
of 168 outputs
Altmetric has tracked 18,156,586 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 1,649 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 415,439 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 168 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.