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Structural Basis of Substrate Recognition by the Multidrug Resistance Protein MRP1

Overview of attention for article published in Cell, February 2017
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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)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
51 X users
patent
1 patent
f1000
1 research highlight platform

Readers on

mendeley
371 Mendeley
citeulike
1 CiteULike
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Title
Structural Basis of Substrate Recognition by the Multidrug Resistance Protein MRP1
Published in
Cell, February 2017
DOI 10.1016/j.cell.2017.01.041
Pubmed ID
Authors

Zachary Lee Johnson, Jue Chen

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Netherlands 1 <1%
Portugal 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 365 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 21%
Researcher 58 16%
Student > Master 39 11%
Student > Bachelor 38 10%
Student > Doctoral Student 22 6%
Other 50 13%
Unknown 87 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 128 35%
Agricultural and Biological Sciences 62 17%
Chemistry 25 7%
Medicine and Dentistry 18 5%
Pharmacology, Toxicology and Pharmaceutical Science 16 4%
Other 20 5%
Unknown 102 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 123. 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 09 July 2024.
All research outputs
#366,444
of 26,329,759 outputs
Outputs from Cell
#1,972
of 17,526 outputs
Outputs of similar age
#7,409
of 327,994 outputs
Outputs of similar age from Cell
#43
of 144 outputs
Altmetric has tracked 26,329,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.6. 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 327,994 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 144 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 70% of its contemporaries.