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Molecular basis for specificity of nuclear import and prediction of nuclear localization

Overview of attention for article published in Biochimica et Biophysica Acta (BBA), October 2010
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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1 blog
twitter
1 X user
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11 patents
wikipedia
4 Wikipedia pages
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1 research highlight platform

Citations

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339 Dimensions

Readers on

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380 Mendeley
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Title
Molecular basis for specificity of nuclear import and prediction of nuclear localization
Published in
Biochimica et Biophysica Acta (BBA), October 2010
DOI 10.1016/j.bbamcr.2010.10.013
Pubmed ID
Authors

Mary Marfori, Andrew Mynott, Jonathan J. Ellis, Ahmed M. Mehdi, Neil F.W. Saunders, Paul M. Curmi, Jade K. Forwood, Mikael Bodén, Bostjan Kobe

Abstract

Although proteins are translated on cytoplasmic ribosomes, many of these proteins play essential roles in the nucleus, mediating key cellular processes including but not limited to DNA replication and repair as well as transcription and RNA processing. Thus, understanding how these critical nuclear proteins are accurately targeted to the nucleus is of paramount importance in biology. Interaction and structural studies in the recent years have jointly revealed some general rules on the specificity determinants of the recognition of nuclear targeting signals by their specific receptors, at least for two nuclear import pathways: (i) the classical pathway, which involves the classical nuclear localization sequences (cNLSs) and the receptors importin-α/karyopherin-α and importin-β/karyopherin-β1; and (ii) the karyopherin-β2 pathway, which employs the proline-tyrosine (PY)-NLSs and the receptor transportin-1/karyopherin-β2. The understanding of specificity rules allows the prediction of protein nuclear localization. We review the current understanding of the molecular determinants of the specificity of nuclear import, focusing on the importin-α•cargo recognition, as well as the currently available databases and predictive tools relevant to nuclear localization. This article is part of a Special Issue entitled: Regulation of Signaling and Cellular Fate through Modulation of Nuclear Protein Import.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Australia 2 <1%
Germany 1 <1%
Israel 1 <1%
India 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Czechia 1 <1%
Other 2 <1%
Unknown 364 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 29%
Researcher 52 14%
Student > Master 46 12%
Student > Bachelor 46 12%
Student > Doctoral Student 20 5%
Other 52 14%
Unknown 52 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 155 41%
Biochemistry, Genetics and Molecular Biology 97 26%
Medicine and Dentistry 21 6%
Chemistry 11 3%
Engineering 8 2%
Other 31 8%
Unknown 57 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 23 October 2023.
All research outputs
#1,525,278
of 25,374,917 outputs
Outputs from Biochimica et Biophysica Acta (BBA)
#149
of 19,216 outputs
Outputs of similar age
#5,210
of 108,564 outputs
Outputs of similar age from Biochimica et Biophysica Acta (BBA)
#2
of 95 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,216 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 99% 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 108,564 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 95% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.