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A straightforward and efficient analytical pipeline for metaproteome characterization

Overview of attention for article published in Microbiome, December 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
7 tweeters

Citations

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63 Dimensions

Readers on

mendeley
162 Mendeley
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Title
A straightforward and efficient analytical pipeline for metaproteome characterization
Published in
Microbiome, December 2014
DOI 10.1186/s40168-014-0049-2
Pubmed ID
Authors

Alessandro Tanca, Antonio Palomba, Salvatore Pisanu, Massimo Deligios, Cristina Fraumene, Valeria Manghina, Daniela Pagnozzi, Maria Filippa Addis, Sergio Uzzau

Abstract

The massive characterization of host-associated and environmental microbial communities has represented a real breakthrough in the life sciences in the last years. In this context, metaproteomics specifically enables the transition from assessing the genomic potential to actually measuring the functional expression of a microbiome. However, significant research efforts are still required to develop analysis pipelines optimized for metaproteome characterization.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 155 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 24%
Student > Ph. D. Student 37 23%
Student > Bachelor 18 11%
Student > Master 13 8%
Other 12 7%
Other 18 11%
Unknown 25 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 34%
Biochemistry, Genetics and Molecular Biology 36 22%
Chemistry 11 7%
Immunology and Microbiology 7 4%
Computer Science 5 3%
Other 17 10%
Unknown 31 19%

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 09 December 2015.
All research outputs
#6,164,804
of 19,244,447 outputs
Outputs from Microbiome
#1,046
of 1,162 outputs
Outputs of similar age
#99,527
of 328,700 outputs
Outputs of similar age from Microbiome
#38
of 45 outputs
Altmetric has tracked 19,244,447 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 9th percentile – i.e., 9% 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 328,700 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 69% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.