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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using phage display selected antibodies to dissect microbiomes for complete de novo genome sequencing of low abundance microbes
|
|---|---|
| Published in |
BMC Microbiology, November 2013
|
| DOI | 10.1186/1471-2180-13-270 |
| Pubmed ID | |
| Authors |
Devin W Close, Fortunato Ferrara, Armand EK Dichosa, Sandeep Kumar, Ashlynn R Daughton, Hajnalka E Daligault, Krista G Reitenga, Nileena Velappan, Timothy C Sanchez, Srinivas Iyer, Csaba Kiss, Cliff S Han, Andrew RM Bradbury |
| Abstract |
Single cell genomics has revolutionized microbial sequencing, but complete coverage of genomes in complex microbiomes is imperfect due to enormous variation in organismal abundance and amplification bias. Empirical methods that complement rapidly improving bioinformatic tools will improve characterization of microbiomes and facilitate better genome coverage for low abundance microbes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 29% |
| Student > Ph. D. Student | 7 | 16% |
| Other | 6 | 13% |
| Student > Bachelor | 3 | 7% |
| Student > Master | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 40% |
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Chemistry | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 November 2013.
All research outputs
#16,923,090
of 24,885,505 outputs
Outputs from BMC Microbiology
#1,902
of 3,434 outputs
Outputs of similar age
#204,884
of 319,354 outputs
Outputs of similar age from BMC Microbiology
#36
of 68 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,434 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 36th percentile – i.e., 36% 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 319,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.