| Title |
RNA-seq: technical variability and sampling
|
|---|---|
| Published in |
BMC Genomics, June 2011
|
| DOI | 10.1186/1471-2164-12-293 |
| Pubmed ID | |
| Authors |
Lauren M McIntyre, Kenneth K Lopiano, Alison M Morse, Victor Amin, Ann L Oberg, Linda J Young, Sergey V Nuzhdin |
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% |
| France | 1 | 10% |
| Spain | 1 | 10% |
| Germany | 1 | 10% |
| Italy | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 825 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 40 | 5% |
| United Kingdom | 9 | 1% |
| Spain | 7 | <1% |
| Germany | 5 | <1% |
| Canada | 5 | <1% |
| France | 5 | <1% |
| Brazil | 4 | <1% |
| Italy | 4 | <1% |
| Sweden | 4 | <1% |
| Other | 29 | 4% |
| Unknown | 713 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 268 | 32% |
| Student > Ph. D. Student | 205 | 25% |
| Student > Master | 61 | 7% |
| Professor > Associate Professor | 48 | 6% |
| Student > Doctoral Student | 39 | 5% |
| Other | 142 | 17% |
| Unknown | 62 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 495 | 60% |
| Biochemistry, Genetics and Molecular Biology | 133 | 16% |
| Computer Science | 31 | 4% |
| Medicine and Dentistry | 25 | 3% |
| Mathematics | 17 | 2% |
| Other | 57 | 7% |
| Unknown | 67 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 05 April 2022.
All research outputs
#2,365,373
of 23,493,900 outputs
Outputs from BMC Genomics
#713
of 10,786 outputs
Outputs of similar age
#10,961
of 113,408 outputs
Outputs of similar age from BMC Genomics
#2
of 74 outputs
Altmetric has tracked 23,493,900 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 10,786 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 113,408 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 74 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 97% of its contemporaries.