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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta4: a web application for sharing and annotating metagenomic gene predictions using web services
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00168 |
| Pubmed ID | |
| Authors |
Emily J. Richardson, Franck Escalettes, Ian Fotheringham, Robert J. Wallace, Mick Watson |
| Abstract |
Whole-genome shotgun metagenomics experiments produce DNA sequence data from entire ecosystems, and provide a huge amount of novel information. Gene discovery projects require up-to-date information about sequence homology and domain structure for millions of predicted proteins to be presented in a simple, easy-to-use system. There is a lack of simple, open, flexible tools that allow the rapid sharing of metagenomics datasets with collaborators in a format they can easily interrogate. We present Meta4, a flexible and extensible web application that can be used to share and annotate metagenomic gene predictions. Proteins and predicted domains are stored in a simple relational database, with a dynamic front-end which displays the results in an internet browser. Web services are used to provide up-to-date information about the proteins from homology searches against public databases. Information about Meta4 can be found on the project website, code is available on Github, a cloud image is available, and an example implementation can be seen at. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 40% |
| United States | 2 | 13% |
| India | 1 | 7% |
| Switzerland | 1 | 7% |
| France | 1 | 7% |
| Germany | 1 | 7% |
| Sweden | 1 | 7% |
| Hong Kong | 1 | 7% |
| Peru | 1 | 7% |
| Other | 0 | 0% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 6% |
| Estonia | 2 | 4% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Argentina | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 39 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 13 | 27% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 6 | 12% |
| Professor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 47% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Computer Science | 5 | 10% |
| Environmental Science | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 04 May 2016.
All research outputs
#1,532,963
of 22,716,996 outputs
Outputs from Frontiers in Genetics
#312
of 11,756 outputs
Outputs of similar age
#15,058
of 280,757 outputs
Outputs of similar age from Frontiers in Genetics
#20
of 319 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,756 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 280,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% 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 has done particularly well, scoring higher than 93% of its contemporaries.