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SNP_tools: A compact tool package for analysis and conversion of genotype data for MS-Excel

Overview of attention for article published in BMC Research Notes, October 2009
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
3 CiteULike
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Title
SNP_tools: A compact tool package for analysis and conversion of genotype data for MS-Excel
Published in
BMC Research Notes, October 2009
DOI 10.1186/1756-0500-2-214
Pubmed ID
Authors

Bowang Chen, Stefan Wilkening, Marion Drechsel, Kari Hemminki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Kenya 1 1%
Sweden 1 1%
Nigeria 1 1%
China 1 1%
United States 1 1%
Unknown 90 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 28%
Student > Ph. D. Student 12 13%
Student > Master 12 13%
Student > Bachelor 7 7%
Student > Doctoral Student 7 7%
Other 21 22%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 52%
Biochemistry, Genetics and Molecular Biology 11 11%
Medicine and Dentistry 10 10%
Computer Science 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 4%
Unknown 15 16%
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 11 July 2021.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from BMC Research Notes
#1,416
of 4,551 outputs
Outputs of similar age
#39,872
of 110,218 outputs
Outputs of similar age from BMC Research Notes
#7
of 18 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 62% 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 110,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.