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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
79 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

Mendeley readers

The data shown below were compiled from readership statistics for 79 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 73 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 19 24%
Student > Bachelor 6 8%
Other 4 5%
Student > Postgraduate 4 5%
Other 12 15%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 47%
Biochemistry, Genetics and Molecular Biology 12 15%
Medicine and Dentistry 11 14%
Chemistry 2 3%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 13 16%

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
#3,488,444
of 17,364,317 outputs
Outputs from BMC Genomics
#1,665
of 9,281 outputs
Outputs of similar age
#73,879
of 273,378 outputs
Outputs of similar age from BMC Genomics
#5
of 21 outputs
Altmetric has tracked 17,364,317 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 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% 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 273,378 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 72% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.