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Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer

Overview of attention for article published in Molecular Cancer, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer
Published in
Molecular Cancer, October 2018
DOI 10.1186/s12943-018-0905-y
Authors

Alex Root, Azadeh Beizaei, H. Alexander Ebhardt

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Researcher 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Chemistry 2 29%
Immunology and Microbiology 1 14%
Medicine and Dentistry 1 14%
Unknown 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 December 2018.
All research outputs
#4,103,347
of 14,070,273 outputs
Outputs from Molecular Cancer
#226
of 1,201 outputs
Outputs of similar age
#121,675
of 316,609 outputs
Outputs of similar age from Molecular Cancer
#17
of 128 outputs
Altmetric has tracked 14,070,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 79% 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 316,609 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.