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Overview of attention for article published in BMC Genetics, January 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Published in
BMC Genetics, January 2004
DOI 10.1186/1471-2156-5-4
Pubmed ID
Authors

Volodymyr Dvornyk, Ji-Rong Long, Dong-Hai Xiong, Peng-Yuan Liu, Lan-Juan Zhao, Hui Shen, Yuan-Yuan Zhang, Yong-Jun Liu, Sonia Rocha-Sanchez, Peng Xiao, Robert R Recker, Hong-Wen Deng

Abstract

Public SNP databases are frequently used to choose SNPs for candidate genes in the association and linkage studies of complex disorders. However, their utility for such studies of diseases with ethnic-dependent background has never been evaluated.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 10 20%
Professor 5 10%
Student > Master 5 10%
Professor > Associate Professor 3 6%
Other 10 20%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 40%
Biochemistry, Genetics and Molecular Biology 8 16%
Medicine and Dentistry 6 12%
Nursing and Health Professions 1 2%
Mathematics 1 2%
Other 7 14%
Unknown 7 14%

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 13 July 2010.
All research outputs
#3,576,998
of 12,372,276 outputs
Outputs from BMC Genetics
#191
of 828 outputs
Outputs of similar age
#79,410
of 268,248 outputs
Outputs of similar age from BMC Genetics
#4
of 24 outputs
Altmetric has tracked 12,372,276 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 268,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.