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Mendeley readers
Attention Score in Context
| Title |
The JCVI standard operating procedure for annotating prokaryotic metagenomic shotgun sequencing data
|
|---|---|
| Published in |
Environmental Microbiome, April 2010
|
| DOI | 10.4056/sigs.651139 |
| Pubmed ID | |
| Authors |
David M. Tanenbaum, Johannes Goll, Sean Murphy, Prateek Kumar, Nikhat Zafar, Mathangi Thiagarajan, Ramana Madupu, Tanja Davidsen, Leonid Kagan, Saul Kravitz, Douglas B. Rusch, Shibu Yooseph |
| Abstract |
The JCVI metagenomics analysis pipeline provides for the efficient and consistent annotation of shotgun metagenomics sequencing data for sampling communities of prokaryotic organisms. The process can be equally applied to individual sequence reads from traditional Sanger capillary electrophoresis sequences, newer technologies such as 454 pyrosequencing, or sequence assemblies derived from one or more of these data types. It includes the analysis of both coding and non-coding genes, whether full-length or, as is often the case for shotgun metagenomics, fragmentary. The system is designed to provide the best-supported conservative functional annotation based on a combination of trusted homology-based scientific evidence and computational assertions and an annotation value hierarchy established through extensive manual curation. The functional annotation attributes assigned by this system include gene name, gene symbol, GO terms, EC numbers, and JCVI functional role categories. |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 3% |
| Brazil | 5 | 3% |
| United States | 4 | 3% |
| Denmark | 2 | 1% |
| Spain | 2 | 1% |
| Argentina | 2 | 1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 120 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 31% |
| Student > Ph. D. Student | 34 | 23% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Other | 23 | 16% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 66% |
| Biochemistry, Genetics and Molecular Biology | 15 | 10% |
| Computer Science | 5 | 3% |
| Environmental Science | 4 | 3% |
| Engineering | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 15 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 October 2022.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Environmental Microbiome
#149
of 786 outputs
Outputs of similar age
#22,564
of 104,472 outputs
Outputs of similar age from Environmental Microbiome
#2
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 104,472 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 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.