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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
122 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
98 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 122 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Ph. D. Student 15 15%
Student > Bachelor 5 5%
Student > Doctoral Student 3 3%
Professor 3 3%
Other 12 12%
Unknown 43 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 17%
Agricultural and Biological Sciences 8 8%
Computer Science 5 5%
Medicine and Dentistry 4 4%
Engineering 4 4%
Other 13 13%
Unknown 47 48%
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
#555,265
of 25,935,829 outputs
Outputs from Molecular Systems Biology
#59
of 1,163 outputs
Outputs of similar age
#12,248
of 407,716 outputs
Outputs of similar age from Molecular Systems Biology
#3
of 13 outputs
Altmetric has tracked 25,935,829 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 1,163 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. 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 407,716 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.