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Microarray-based approach identifies microRNAs and their target functional patterns in polycystic kidney disease

Overview of attention for article published in BMC Genomics, December 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
4 CiteULike
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Title
Microarray-based approach identifies microRNAs and their target functional patterns in polycystic kidney disease
Published in
BMC Genomics, December 2008
DOI 10.1186/1471-2164-9-624
Pubmed ID
Authors

Priyanka Pandey, Benedikt Brors, Prashant K Srivastava, Andrea Bott, Susanne NE Boehn, Herrmann-Josef Groene, Norbert Gretz

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Korea, Republic of 1 1%
India 1 1%
United Kingdom 1 1%
Iran, Islamic Republic of 1 1%
Japan 1 1%
Unknown 79 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 25%
Researcher 19 22%
Student > Bachelor 6 7%
Other 4 5%
Student > Postgraduate 4 5%
Other 11 13%
Unknown 20 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 44%
Medicine and Dentistry 11 13%
Biochemistry, Genetics and Molecular Biology 11 13%
Mathematics 1 1%
Business, Management and Accounting 1 1%
Other 5 6%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 2014.
All research outputs
#4,740,163
of 22,961,203 outputs
Outputs from BMC Genomics
#2,015
of 10,686 outputs
Outputs of similar age
#26,422
of 169,489 outputs
Outputs of similar age from BMC Genomics
#31
of 132 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 169,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.