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Quantitative Atlas of Membrane Transporter Proteins: Development and Application of a Highly Sensitive Simultaneous LC/MS/MS Method Combined with Novel In-silico Peptide Selection Criteria

Overview of attention for article published in Pharmaceutical Research, January 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
445 Dimensions

Readers on

mendeley
251 Mendeley
citeulike
3 CiteULike
Title
Quantitative Atlas of Membrane Transporter Proteins: Development and Application of a Highly Sensitive Simultaneous LC/MS/MS Method Combined with Novel In-silico Peptide Selection Criteria
Published in
Pharmaceutical Research, January 2008
DOI 10.1007/s11095-008-9532-4
Pubmed ID
Authors

Junichi Kamiie, Sumio Ohtsuki, Ryo Iwase, Ken Ohmine, Yuki Katsukura, Kazunari Yanai, Yumi Sekine, Yasuo Uchida, Shingo Ito, Tetsuya Terasaki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Japan 2 <1%
Germany 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 240 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 21%
Researcher 49 20%
Student > Master 29 12%
Student > Bachelor 25 10%
Student > Doctoral Student 15 6%
Other 48 19%
Unknown 33 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 24%
Pharmacology, Toxicology and Pharmaceutical Science 52 21%
Medicine and Dentistry 40 16%
Chemistry 25 10%
Biochemistry, Genetics and Molecular Biology 20 8%
Other 16 6%
Unknown 37 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 June 2023.
All research outputs
#3,537,844
of 24,081,774 outputs
Outputs from Pharmaceutical Research
#241
of 2,926 outputs
Outputs of similar age
#14,952
of 161,051 outputs
Outputs of similar age from Pharmaceutical Research
#3
of 25 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 161,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.