↓ Skip to main content

Detection and Independent Validation of Model-Based Quantitative Transcriptional Regulation Relationships Altered in Lung Cancers

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, June 2020
Altmetric Badge

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 (71st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Detection and Independent Validation of Model-Based Quantitative Transcriptional Regulation Relationships Altered in Lung Cancers
Published in
Frontiers in Bioengineering and Biotechnology, June 2020
DOI 10.3389/fbioe.2020.00582
Pubmed ID
Authors

Meiyu Duan, Haoqiu Song, Chaoyu Wang, Jiaxin Zheng, Hui Xie, Yupeng He, Lan Huang, Fengfeng Zhou

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Neuroscience 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2020.
All research outputs
#4,707,561
of 23,213,531 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#689
of 6,890 outputs
Outputs of similar age
#114,667
of 399,052 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#72
of 473 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,890 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 399,052 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 71% of its contemporaries.
We're also able to compare this research output to 473 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.