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Microfluidic chip-based technologies: emerging platforms for cancer diagnosis

Overview of attention for article published in BMC Biotechnology, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

1 blog
3 tweeters
3 patents


39 Dimensions

Readers on

135 Mendeley
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Microfluidic chip-based technologies: emerging platforms for cancer diagnosis
Published in
BMC Biotechnology, September 2013
DOI 10.1186/1472-6750-13-76
Pubmed ID

Li Ying, Qi Wang


The development of early and personalized diagnostic protocols is considered the most promising avenue to decrease mortality from cancer and improve outcome. The emerging microfluidic-based analyzing platforms hold high promises to fulfill high-throughput and high-precision screening with reduced equipment cost and low analysis time, as compared to traditional bulky counterparts in bench-top laboratories. This article overviewed the potential applications of microfluidic technologies for detection and monitoring of cancer through nucleic acid and protein biomarker analysis. The implications of the technologies in cancer cytology that can provide functional personalized diagnosis were highlighted. Finally, the future niches for using microfluidic-based systems in tumor screening were briefly discussed.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United Arab Emirates 1 <1%
Sweden 1 <1%
Spain 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 128 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 30%
Student > Master 25 19%
Researcher 22 16%
Student > Bachelor 15 11%
Professor > Associate Professor 6 4%
Other 14 10%
Unknown 13 10%
Readers by discipline Count As %
Engineering 46 34%
Agricultural and Biological Sciences 20 15%
Biochemistry, Genetics and Molecular Biology 10 7%
Chemistry 10 7%
Medicine and Dentistry 9 7%
Other 22 16%
Unknown 18 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 February 2021.
All research outputs
of 20,370,630 outputs
Outputs from BMC Biotechnology
of 902 outputs
Outputs of similar age
of 184,504 outputs
Outputs of similar age from BMC Biotechnology
of 1 outputs
Altmetric has tracked 20,370,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 93% 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 184,504 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them