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Guide to Protein Purification

Overview of attention for book
Guide to Protein Purification
Academic Press
Attention for Chapter: Chapter 16 Tagging for Protein Expression
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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 (87th percentile)

Mentioned by

twitter
1 X user
patent
11 patents

Readers on

mendeley
563 Mendeley
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Article details
Chapter title
Chapter 16 Tagging for Protein Expression
Book title
Guide to Protein Purification, 2nd Edition
Published in
Methods in enzymology, November 2009
DOI 10.1016/s0076-6879(09)63016-0
Pubmed ID
Book ISBNs
978-0-12-374536-1
Authors

Malhotra A, Arun Malhotra

Abstract

Tags are frequently used in the expression of recombinant proteins to improve solubility and for affinity purification. A large number of tags have been developed for protein production and researchers face a profusion of choices when designing expression constructs. Here, we survey common affinity and solubility tags, and offer some guidance on their selection and use.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 563 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
India 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Mexico 1 <1%
Korea, Republic of 1 <1%
Finland 1 <1%
Denmark 1 <1%
China 1 <1%
Unknown 553 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 116 21%
Student > Ph. D. Student 85 15%
Student > Master 74 13%
Researcher 57 10%
Student > Doctoral Student 22 4%
Other 65 12%
Unknown 144 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 171 30%
Agricultural and Biological Sciences 127 23%
Chemistry 35 6%
Pharmacology, Toxicology and Pharmaceutical Science 16 3%
Engineering 16 3%
Other 49 9%
Unknown 149 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 October 2025.
All research outputs
#4,118,901
of 30,642,614 outputs
Outputs from Methods in enzymology
#255
of 3,422 outputs
Outputs of similar age
#15,143
of 128,204 outputs
Outputs of similar age from Methods in enzymology
#2
of 4 outputs
Altmetric has tracked 30,642,614 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,422 research outputs from this source. They receive a mean Attention Score of 4.2. 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 128,204 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 87% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.