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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An efficient rRNA removal method for RNA sequencing in GC-rich bacteria
|
|---|---|
| Published in |
Microbial Informatics and Experimentation, January 2013
|
| DOI | 10.1186/2042-5783-3-1 |
| Pubmed ID | |
| Authors |
Clelia Peano, Alessandro Pietrelli, Clarissa Consolandi, Elio Rossi, Luca Petiti, Letizia Tagliabue, Gianluca De Bellis, Paolo Landini |
X Demographics
The data shown below were collected from the profiles of 5 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 | 60% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 1% |
| Belgium | 2 | 1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Mexico | 1 | <1% |
| Sweden | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 172 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 28% |
| Researcher | 41 | 22% |
| Student > Master | 30 | 16% |
| Student > Postgraduate | 12 | 6% |
| Student > Bachelor | 8 | 4% |
| Other | 25 | 14% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 96 | 52% |
| Biochemistry, Genetics and Molecular Biology | 28 | 15% |
| Immunology and Microbiology | 8 | 4% |
| Environmental Science | 8 | 4% |
| Computer Science | 5 | 3% |
| Other | 18 | 10% |
| Unknown | 22 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 03 October 2019.
All research outputs
#2,427,264
of 22,691,736 outputs
Outputs from Microbial Informatics and Experimentation
#6
of 15 outputs
Outputs of similar age
#25,883
of 281,525 outputs
Outputs of similar age from Microbial Informatics and Experimentation
#1
of 1 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one scored the same or higher as 9 of them.
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 281,525 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 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them