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Development of a database system for mapping insertional mutations onto the mouse genome with large-scale experimental data

Overview of attention for article published in BMC Genomics, December 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Development of a database system for mapping insertional mutations onto the mouse genome with large-scale experimental data
Published in
BMC Genomics, December 2009
DOI 10.1186/1471-2164-10-s3-s7
Pubmed ID
Authors

Wenwei Yang, Ke Jin, Xing Xie, Dongsheng Li, Jigang Yang, Li Wang, Ning Gu, Yang Zhong, Ling V Sun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Canada 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 38%
Student > Bachelor 4 14%
Professor 4 14%
Professor > Associate Professor 2 7%
Other 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 2 7%
Medicine and Dentistry 2 7%
Engineering 2 7%
Other 3 10%
Unknown 4 14%
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 20 January 2021.
All research outputs
#7,646,569
of 23,283,373 outputs
Outputs from BMC Genomics
#3,654
of 10,737 outputs
Outputs of similar age
#49,168
of 167,617 outputs
Outputs of similar age from BMC Genomics
#41
of 113 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,737 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 167,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 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.