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Developing a powerful In Silico tool for the discovery of novel caspase-3 substrates: a preliminary screening of the human proteome

Overview of attention for article published in BMC Bioinformatics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
24 Mendeley
citeulike
1 CiteULike
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Title
Developing a powerful In Silico tool for the discovery of novel caspase-3 substrates: a preliminary screening of the human proteome
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-14
Pubmed ID
Authors

Muneef Ayyash, Hashem Tamimi, Yaqoub Ashhab

Abstract

Caspases are a family of cysteinyl proteases that regulate apoptosis and other biological processes. Caspase-3 is considered the central executioner member of this family with a wide range of substrates. Identification of caspase-3 cellular targets is crucial to gain further insights into the cellular mechanisms that have been implicated in various diseases including: cancer, neurodegenerative, and immunodeficiency diseases. To date, over 200 caspase-3 substrates have been identified experimentally. However, many are still awaiting discovery.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 4%
United States 1 4%
Germany 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Postgraduate 4 17%
Student > Doctoral Student 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 3 13%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Biochemistry, Genetics and Molecular Biology 4 17%
Computer Science 2 8%
Neuroscience 2 8%
Mathematics 1 4%
Other 4 17%
Unknown 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 April 2020.
All research outputs
#5,847,286
of 22,662,201 outputs
Outputs from BMC Bioinformatics
#2,168
of 7,241 outputs
Outputs of similar age
#52,928
of 246,023 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 70 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,241 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 gotten more attention than average, scoring higher than 69% 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 246,023 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 77% of its contemporaries.
We're also able to compare this research output to 70 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 62% of its contemporaries.