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Large-scale pharmacogenomics based drug discovery for ITGB3 dependent chemoresistance in mesenchymal lung cancer

Overview of attention for article published in Molecular Cancer, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users
patent
2 patents

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Large-scale pharmacogenomics based drug discovery for ITGB3 dependent chemoresistance in mesenchymal lung cancer
Published in
Molecular Cancer, December 2018
DOI 10.1186/s12943-018-0924-8
Pubmed ID
Authors

Soon-Ki Hong, Haeseung Lee, Ok-Seon Kwon, Na-Young Song, Hyo-Ju Lee, Seungmin Kang, Jeong-Hwan Kim, Mirang Kim, Wankyu Kim, Hyuk-Jin Cha

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Doctoral Student 5 17%
Student > Ph. D. Student 4 13%
Student > Master 1 3%
Student > Bachelor 1 3%
Other 0 0%
Unknown 12 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Agricultural and Biological Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Nursing and Health Professions 1 3%
Arts and Humanities 1 3%
Other 2 7%
Unknown 14 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 November 2022.
All research outputs
#6,183,325
of 23,755,107 outputs
Outputs from Molecular Cancer
#439
of 1,787 outputs
Outputs of similar age
#123,295
of 438,949 outputs
Outputs of similar age from Molecular Cancer
#10
of 31 outputs
Altmetric has tracked 23,755,107 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,787 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 75% 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 438,949 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 31 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.