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Genome wide in silico analysis of Plasmodium falciparum phosphatome

Overview of attention for article published in BMC Genomics, November 2014
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Mentioned by

twitter
2 tweeters

Citations

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25 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
2 CiteULike
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Title
Genome wide in silico analysis of Plasmodium falciparum phosphatome
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1024
Pubmed ID
Authors

Rajan Pandey, Asif Mohmmed, Christine Pierrot, Jamal Khalife, Pawan Malhotra, Dinesh Gupta

Abstract

Eukaryotic cellular machineries are intricately regulated by several molecular mechanisms involving transcriptional control, post-translational control and post-translational modifications of proteins (PTMs). Reversible protein phosphorylation/dephosphorylation process, which involves kinases as well as phosphatases, represents an important regulatory mechanism for diverse pathways and systems in all organisms including human malaria parasite, Plasmodium falciparum. Earlier analysis on P. falciparum protein-phosphatome revealed presence of 34 phosphatases in Plasmodium genome. Recently, we re-analysed P. falciparum phosphatome aimed at identifying parasite specific phosphatases.

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Postgraduate 6 13%
Researcher 6 13%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 34%
Biochemistry, Genetics and Molecular Biology 10 21%
Medicine and Dentistry 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 10 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2014.
All research outputs
#2,190,358
of 4,559,875 outputs
Outputs from BMC Genomics
#2,364
of 4,206 outputs
Outputs of similar age
#66,030
of 145,510 outputs
Outputs of similar age from BMC Genomics
#179
of 319 outputs
Altmetric has tracked 4,559,875 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,206 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 145,510 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 50% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.