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Mendeley readers
Attention Score in Context
| Title |
3' tag digital gene expression profiling of human brain and universal reference RNA using Illumina Genome Analyzer
|
|---|---|
| Published in |
BMC Genomics, November 2009
|
| DOI | 10.1186/1471-2164-10-531 |
| Pubmed ID | |
| Authors |
Yan W Asmann, Eric W Klee, E Aubrey Thompson, Edith A Perez, Sumit Middha, Ann L Oberg, Terry M Therneau, David I Smith, Gregory A Poland, Eric D Wieben, Jean-Pierre A Kocher |
| Abstract |
Massive parallel sequencing has the potential to replace microarrays as the method for transcriptome profiling. Currently there are two protocols: full-length RNA sequencing (RNA-SEQ) and 3'-tag digital gene expression (DGE). In this preliminary effort, we evaluated the 3' DGE approach using two reference RNA samples from the MicroArray Quality Control Consortium (MAQC). |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 4% |
| Germany | 3 | 1% |
| Netherlands | 2 | <1% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Pakistan | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 232 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 74 | 29% |
| Student > Ph. D. Student | 62 | 24% |
| Professor > Associate Professor | 25 | 10% |
| Student > Master | 21 | 8% |
| Professor | 11 | 4% |
| Other | 36 | 14% |
| Unknown | 28 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 150 | 58% |
| Biochemistry, Genetics and Molecular Biology | 29 | 11% |
| Medicine and Dentistry | 11 | 4% |
| Computer Science | 8 | 3% |
| Neuroscience | 3 | 1% |
| Other | 20 | 8% |
| Unknown | 36 | 14% |
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 23 July 2016.
All research outputs
#2,268,418
of 22,769,322 outputs
Outputs from BMC Genomics
#692
of 10,639 outputs
Outputs of similar age
#6,484
of 79,119 outputs
Outputs of similar age from BMC Genomics
#4
of 39 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,639 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 79,119 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 91% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.