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Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens

Overview of attention for article published in Journal of Biomedical Semantics, March 2015
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Title
Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens
Published in
Journal of Biomedical Semantics, March 2015
DOI 10.1186/s13326-015-0009-1
Pubmed ID
Authors

Cynthia L Smith, Janan T Eppig

Abstract

A vast array of data is about to emerge from the large scale high-throughput mouse knockout phenotyping projects worldwide. It is critical that this information is captured in a standardized manner, made accessible, and is fully integrated with other phenotype data sets for comprehensive querying and analysis across all phenotype data types. The volume of data generated by the high-throughput phenotyping screens is expected to grow exponentially, thus, automated methods and standards to exchange phenotype data are required. The IMPC (International Mouse Phenotyping Consortium) is using the Mammalian Phenotype (MP) ontology in the automated annotation of phenodeviant data from high throughput phenotyping screens. 287 new term additions with additional hierarchy revisions were made in multiple branches of the MP ontology to accurately describe the results generated by these high throughput screens. Because these large scale phenotyping data sets will be reported using the MP as the common data standard for annotation and data exchange, automated importation of these data to MGI (Mouse Genome Informatics) and other resources is possible without curatorial effort. Maximum biomedical value of these mutant mice will come from integrating primary high-throughput phenotyping data with secondary, comprehensive phenotypic analyses combined with published phenotype details on these and related mutants at MGI and other resources.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Sweden 1 4%
Canada 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 38%
Student > Ph. D. Student 4 17%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 46%
Biochemistry, Genetics and Molecular Biology 9 38%
Physics and Astronomy 1 4%
Neuroscience 1 4%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 August 2022.
All research outputs
#13,623,794
of 23,098,660 outputs
Outputs from Journal of Biomedical Semantics
#196
of 366 outputs
Outputs of similar age
#128,671
of 264,004 outputs
Outputs of similar age from Journal of Biomedical Semantics
#9
of 12 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 45th percentile – i.e., 45% 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 264,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.