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Inferring gene-to-phenotype and gene-to-disease relationships at Mouse Genome Informatics: challenges and solutions

Overview of attention for article published in Journal of Biomedical Semantics, May 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Inferring gene-to-phenotype and gene-to-disease relationships at Mouse Genome Informatics: challenges and solutions
Published in
Journal of Biomedical Semantics, May 2016
DOI 10.1186/s13326-016-0054-4
Authors

Susan M. Bello, Janan T. Eppig

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 13%
United States 1 7%
New Caledonia 1 7%
Unknown 11 73%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 47%
Student > Ph. D. Student 2 13%
Other 1 7%
Professor 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 33%
Biochemistry, Genetics and Molecular Biology 3 20%
Computer Science 2 13%
Linguistics 1 7%
Philosophy 1 7%
Other 2 13%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 October 2016.
All research outputs
#12,955,227
of 22,867,327 outputs
Outputs from Journal of Biomedical Semantics
#179
of 364 outputs
Outputs of similar age
#164,216
of 333,274 outputs
Outputs of similar age from Journal of Biomedical Semantics
#12
of 22 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 49th percentile – i.e., 49% 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 333,274 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.