You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Census-based rapid and accurate metagenome taxonomic profiling
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-918 |
| Pubmed ID | |
| Authors |
Amirhossein Shamsaddini, Yang Pan, W Evan Johnson, Konstantinos Krampis, Mariya Shcheglovitova, Vahan Simonyan, Amy Zanne, Raja Mazumder |
| Abstract |
Understanding the taxonomic composition of a sample, whether from patient, food or environment, is important to several types of studies including pathogen diagnostics, epidemiological studies, biodiversity analysis and food quality regulation. With the decreasing costs of sequencing, metagenomic data is quickly becoming the preferred typed of data for such analysis. |
X Demographics
The data shown below were collected from the profiles of 10 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 States | 3 | 30% |
| United Kingdom | 1 | 10% |
| China | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| United Kingdom | 1 | 2% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 56 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 27% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 35% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Computer Science | 5 | 8% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 September 2019.
All research outputs
#6,261,854
of 23,498,099 outputs
Outputs from BMC Genomics
#2,585
of 10,787 outputs
Outputs of similar age
#66,731
of 261,488 outputs
Outputs of similar age from BMC Genomics
#40
of 209 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 261,488 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 74% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.