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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative RNA-Seq analysis in non-model species: assessing transcriptome assemblies as a scaffold and the utility of evolutionary divergent genomic reference species
|
|---|---|
| Published in |
BMC Genomics, August 2012
|
| DOI | 10.1186/1471-2164-13-361 |
| Pubmed ID | |
| Authors |
Emily A Hornett, Christopher W Wheat |
X Demographics
The data shown below were collected from the profiles of 17 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 | 8 | 47% |
| United Kingdom | 4 | 24% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 59% |
| Members of the public | 6 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Germany | 4 | 1% |
| Netherlands | 3 | <1% |
| Mexico | 3 | <1% |
| Chile | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| Other | 13 | 4% |
| Unknown | 276 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 100 | 32% |
| Researcher | 82 | 26% |
| Student > Master | 25 | 8% |
| Student > Doctoral Student | 22 | 7% |
| Professor > Associate Professor | 16 | 5% |
| Other | 47 | 15% |
| Unknown | 25 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 220 | 69% |
| Biochemistry, Genetics and Molecular Biology | 36 | 11% |
| Environmental Science | 9 | 3% |
| Computer Science | 8 | 3% |
| Neuroscience | 3 | <1% |
| Other | 7 | 2% |
| Unknown | 34 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 10 October 2016.
All research outputs
#1,729,791
of 26,017,215 outputs
Outputs from BMC Genomics
#337
of 11,367 outputs
Outputs of similar age
#10,219
of 182,887 outputs
Outputs of similar age from BMC Genomics
#6
of 174 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 11,367 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 182,887 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 93% of its contemporaries.
We're also able to compare this research output to 174 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 96% of its contemporaries.