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Predicting cellular responses to complex perturbations in high‐throughput screens

Overview of attention for article published in Molecular Systems Biology, May 2023
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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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
121 X users

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Predicting cellular responses to complex perturbations in high‐throughput screens
Published in
Molecular Systems Biology, May 2023
DOI 10.15252/msb.202211517
Pubmed ID
Authors

Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis

X Demographics

X Demographics

The data shown below were collected from the profiles of 121 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Researcher 17 16%
Student > Bachelor 5 5%
Student > Master 4 4%
Professor 3 3%
Other 12 11%
Unknown 47 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 17%
Agricultural and Biological Sciences 9 9%
Computer Science 6 6%
Medicine and Dentistry 4 4%
Engineering 4 4%
Other 12 11%
Unknown 52 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 14 May 2024.
All research outputs
#572,228
of 26,375,498 outputs
Outputs from Molecular Systems Biology
#60
of 1,176 outputs
Outputs of similar age
#12,593
of 412,738 outputs
Outputs of similar age from Molecular Systems Biology
#3
of 13 outputs
Altmetric has tracked 26,375,498 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 1,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has done particularly well, scoring higher than 94% 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 412,738 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 96% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.