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A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets

Overview of attention for article published in Neuron, July 2024
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
63 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets
Published in
Neuron, July 2024
DOI 10.1016/j.neuron.2024.06.021
Pubmed ID
Authors

Ruchira M Jha, Dhivyaa Rajasundaram, Chaim Sneiderman, Brent T Schlegel, Casey O'Brien, Zujian Xiong, Keri Janesko-Feldman, Ria Trivedi, Vincent Vagni, Benjamin E Zusman, Joshua S Catapano, Adam Eberle, Shashvat M Desai, Ashutosh P Jadhav, Sandra Mihaljevic, Margaux Miller, Sudhanshu Raikwar, Anupama Rani, Jarrod Rulney, Shima Shahjouie, Itay Raphael, Aditya Kumar, Chia-Ling Phuah, Ethan A Winkler, Dennis W Simon, Patrick M Kochanek, Gary Kohanbash

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 63 X users 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 37%
Researcher 3 16%
Student > Bachelor 2 11%
Student > Ph. D. Student 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 5 26%
Readers by discipline Count As %
Unspecified 7 37%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 October 2024.
All research outputs
#541,164
of 26,811,559 outputs
Outputs from Neuron
#895
of 9,776 outputs
Outputs of similar age
#7,422
of 306,683 outputs
Outputs of similar age from Neuron
#13
of 69 outputs
Altmetric has tracked 26,811,559 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 9,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has done particularly well, scoring higher than 90% 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 306,683 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 97% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.