↓ Skip to main content

Systematic modeling-driven experiments identify distinct molecular clockworks underlying hierarchically organized pacemaker neurons

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, February 2022
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
6 news outlets
twitter
21 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
18 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
Systematic modeling-driven experiments identify distinct molecular clockworks underlying hierarchically organized pacemaker neurons
Published in
Proceedings of the National Academy of Sciences of the United States of America, February 2022
DOI 10.1073/pnas.2113403119
Pubmed ID
Authors

Eui Min Jeong, Miri Kwon, Eunjoo Cho, Sang Hyuk Lee, Hyun Kim, Eun Young Kim, Jae Kyoung Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Bachelor 2 11%
Lecturer > Senior Lecturer 1 6%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Neuroscience 5 28%
Mathematics 2 11%
Agricultural and Biological Sciences 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 06 February 2024.
All research outputs
#739,853
of 25,359,594 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#12,297
of 102,789 outputs
Outputs of similar age
#19,057
of 439,408 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#303
of 1,003 outputs
Altmetric has tracked 25,359,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. 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 439,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1,003 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 69% of its contemporaries.