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BET Inhibitors Target the SCLC-N Subtype of Small-Cell Lung Cancer by Blocking NEUROD1 Transactivation.

Overview of attention for article published in Molecular Cancer Research, November 2022
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
16 Mendeley
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Title
BET Inhibitors Target the SCLC-N Subtype of Small-Cell Lung Cancer by Blocking NEUROD1 Transactivation.
Published in
Molecular Cancer Research, November 2022
DOI 10.1158/1541-7786.mcr-22-0594
Pubmed ID
Authors

Haobin Chen, Lisa Gesumaria, Young-Kwon Park, Trudy G Oliver, Dinah S Singer, Kai Ge, David S Schrump

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Unspecified 1 6%
Lecturer 1 6%
Researcher 1 6%
Other 0 0%
Unknown 8 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Unspecified 1 6%
Sports and Recreations 1 6%
Medicine and Dentistry 1 6%
Unknown 8 50%
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 03 August 2023.
All research outputs
#5,073,481
of 25,262,379 outputs
Outputs from Molecular Cancer Research
#328
of 2,023 outputs
Outputs of similar age
#97,136
of 425,963 outputs
Outputs of similar age from Molecular Cancer Research
#4
of 21 outputs
Altmetric has tracked 25,262,379 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 2,023 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 83% 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 425,963 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 77% 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 85% of its contemporaries.