| Title |
How deep is deep enough for RNA-Seq profiling of bacterial transcriptomes?
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-734 |
| Pubmed ID | |
| Authors |
Brian J Haas, Melissa Chin, Chad Nusbaum, Bruce W Birren, Jonathan Livny |
X Demographics
The data shown below were collected from the profiles of 20 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 | 6 | 30% |
| Germany | 2 | 10% |
| Malawi | 1 | 5% |
| Australia | 1 | 5% |
| Hungary | 1 | 5% |
| United Kingdom | 1 | 5% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 65% |
| Members of the public | 6 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 863 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 2% |
| Germany | 5 | <1% |
| United Kingdom | 5 | <1% |
| Canada | 4 | <1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 2 | <1% |
| Sweden | 2 | <1% |
| Other | 25 | 3% |
| Unknown | 797 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 242 | 28% |
| Researcher | 199 | 23% |
| Student > Master | 105 | 12% |
| Student > Bachelor | 54 | 6% |
| Student > Postgraduate | 41 | 5% |
| Other | 154 | 18% |
| Unknown | 68 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 445 | 52% |
| Biochemistry, Genetics and Molecular Biology | 167 | 19% |
| Immunology and Microbiology | 53 | 6% |
| Environmental Science | 31 | 4% |
| Engineering | 25 | 3% |
| Other | 56 | 6% |
| Unknown | 86 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 02 February 2021.
All research outputs
#1,171,379
of 25,711,518 outputs
Outputs from BMC Genomics
#170
of 11,306 outputs
Outputs of similar age
#9,554
of 290,548 outputs
Outputs of similar age from BMC Genomics
#1
of 202 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 290,548 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 96% of its contemporaries.
We're also able to compare this research output to 202 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 99% of its contemporaries.