| Title |
Influence of RNA extraction methods and library selection schemes on RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-675 |
| Pubmed ID | |
| Authors |
Marc Sultan, Vyacheslav Amstislavskiy, Thomas Risch, Moritz Schuette, Simon Dökel, Meryem Ralser, Daniela Balzereit, Hans Lehrach, Marie-Laure Yaspo |
X Demographics
The data shown below were collected from the profiles of 24 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 | 10 | 42% |
| United Kingdom | 3 | 13% |
| Spain | 1 | 4% |
| Germany | 1 | 4% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 71% |
| Members of the public | 6 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 443 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Brazil | 3 | <1% |
| Spain | 2 | <1% |
| Netherlands | 1 | <1% |
| South Africa | 1 | <1% |
| Finland | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 425 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 120 | 27% |
| Researcher | 79 | 18% |
| Student > Master | 55 | 12% |
| Student > Bachelor | 40 | 9% |
| Student > Doctoral Student | 31 | 7% |
| Other | 50 | 11% |
| Unknown | 68 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 172 | 39% |
| Biochemistry, Genetics and Molecular Biology | 109 | 25% |
| Medicine and Dentistry | 18 | 4% |
| Neuroscience | 8 | 2% |
| Computer Science | 8 | 2% |
| Other | 39 | 9% |
| Unknown | 89 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 30 July 2018.
All research outputs
#1,852,082
of 26,017,215 outputs
Outputs from BMC Genomics
#392
of 11,400 outputs
Outputs of similar age
#18,188
of 246,609 outputs
Outputs of similar age from BMC Genomics
#13
of 250 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 96% 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 246,609 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 92% of its contemporaries.
We're also able to compare this research output to 250 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 94% of its contemporaries.