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Differential microRNA expression signatures and cell type-specific association with Taxol resistance in ovarian cancer cells

Overview of attention for article published in Drug Design, Development and Therapy, February 2014
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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 (88th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
51 Mendeley
Title
Differential microRNA expression signatures and cell type-specific association with Taxol resistance in ovarian cancer cells
Published in
Drug Design, Development and Therapy, February 2014
DOI 10.2147/dddt.s51969
Pubmed ID
Authors

Woong Shick Ahn, Yong-Wan Kim, Juinn-Lin Liu, Helena Kim, Eun Young Kim, Doin Jeon, Jinwoo Choi

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Portugal 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Bachelor 9 18%
Researcher 8 16%
Student > Master 8 16%
Student > Postgraduate 6 12%
Other 6 12%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Medicine and Dentistry 12 24%
Biochemistry, Genetics and Molecular Biology 11 22%
Immunology and Microbiology 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 9 18%

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 09 January 2020.
All research outputs
#3,296,787
of 16,568,277 outputs
Outputs from Drug Design, Development and Therapy
#180
of 1,645 outputs
Outputs of similar age
#78,527
of 283,521 outputs
Outputs of similar age from Drug Design, Development and Therapy
#4
of 27 outputs
Altmetric has tracked 16,568,277 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 1,645 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 283,521 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 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.