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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-356 |
| Pubmed ID | |
| Authors |
Milica Ciric, Christina D Moon, Sinead C Leahy, Christopher J Creevey, Eric Altermann, Graeme T Attwood, Jasna Rakonjac, Dragana Gagic |
| Abstract |
In silico, secretome proteins can be predicted from completely sequenced genomes using various available algorithms that identify membrane-targeting sequences. For metasecretome (collection of surface, secreted and transmembrane proteins from environmental microbial communities) this approach is impractical, considering that the metasecretome open reading frames (ORFs) comprise only 10% to 30% of total metagenome, and are poorly represented in the dataset due to overall low coverage of metagenomic gene pool, even in large-scale projects. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 6% |
| Brazil | 4 | 6% |
| Canada | 1 | 1% |
| Slovakia | 1 | 1% |
| Unknown | 58 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 24% |
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 8 | 12% |
| Student > Postgraduate | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Other | 5 | 7% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 47% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Environmental Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 January 2015.
All research outputs
#14,391,269
of 25,381,384 outputs
Outputs from BMC Genomics
#4,746
of 11,234 outputs
Outputs of similar age
#112,946
of 235,733 outputs
Outputs of similar age from BMC Genomics
#73
of 214 outputs
Altmetric has tracked 25,381,384 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,234 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 235,733 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 51% of its contemporaries.
We're also able to compare this research output to 214 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 65% of its contemporaries.