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mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease

Overview of attention for article published in BMC Genomics, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
21 Mendeley
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Title
mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease
Published in
BMC Genomics, March 2019
DOI 10.1186/s12864-019-5559-7
Pubmed ID
Authors

Benjamin N. Bimber, Melissa Y. Yan, Samuel M. Peterson, Betsy Ferguson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Researcher 3 14%
Student > Master 2 10%
Student > Ph. D. Student 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 9 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 14%
Agricultural and Biological Sciences 2 10%
Unspecified 1 5%
Computer Science 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 10 48%
Attention Score in Context

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 March 2019.
All research outputs
#15,563,046
of 23,132,033 outputs
Outputs from BMC Genomics
#6,722
of 10,710 outputs
Outputs of similar age
#220,789
of 352,421 outputs
Outputs of similar age from BMC Genomics
#128
of 205 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,710 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 352,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.