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Mendeley readers
Attention Score in Context
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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | <1% |
United Kingdom | 1 | <1% |
Belgium | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 179 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 43 | 23% |
Student > Ph. D. Student | 42 | 23% |
Student > Bachelor | 19 | 10% |
Student > Master | 15 | 8% |
Other | 11 | 6% |
Other | 19 | 10% |
Unknown | 36 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 31% |
Biochemistry, Genetics and Molecular Biology | 40 | 22% |
Chemistry | 11 | 6% |
Immunology and Microbiology | 9 | 5% |
Computer Science | 5 | 3% |
Other | 19 | 10% |
Unknown | 43 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 15 October 2022.
All research outputs
#5,210,744
of 25,075,028 outputs
Outputs from Microbiome
#1,392
of 1,717 outputs
Outputs of similar age
#70,242
of 373,530 outputs
Outputs of similar age from Microbiome
#12
of 14 outputs
Altmetric has tracked 25,075,028 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.6. This one is in the 18th percentile – i.e., 18% 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 373,530 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 81% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.