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Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules

Overview of attention for article published in Cell, January 2018
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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 (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Citations

dimensions_citation
700 Dimensions

Readers on

mendeley
956 Mendeley
citeulike
1 CiteULike
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Title
Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules
Published in
Cell, January 2018
DOI 10.1016/j.cell.2017.12.032
Pubmed ID
Authors

Sebastian Markmiller, Sahar Soltanieh, Kari L. Server, Raymond Mak, Wenhao Jin, Mark Y. Fang, En-Ching Luo, Florian Krach, Dejun Yang, Anindya Sen, Amit Fulzele, Jacob M. Wozniak, David J. Gonzalez, Mark W. Kankel, Fen-Biao Gao, Eric J. Bennett, Eric Lécuyer, Gene W. Yeo

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 956 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 956 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 213 22%
Researcher 137 14%
Student > Bachelor 110 12%
Student > Master 88 9%
Student > Doctoral Student 38 4%
Other 124 13%
Unknown 246 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 351 37%
Agricultural and Biological Sciences 136 14%
Neuroscience 93 10%
Chemistry 27 3%
Medicine and Dentistry 18 2%
Other 71 7%
Unknown 260 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 26 October 2023.
All research outputs
#1,047,362
of 25,856,713 outputs
Outputs from Cell
#3,928
of 17,302 outputs
Outputs of similar age
#23,545
of 453,186 outputs
Outputs of similar age from Cell
#81
of 120 outputs
Altmetric has tracked 25,856,713 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. This one has done well, scoring higher than 77% 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 453,186 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 94% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.