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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing De Novo transcriptome assembly metrics for consistency and utility
|
|---|---|
| Published in |
BMC Genomics, July 2013
|
| DOI | 10.1186/1471-2164-14-465 |
| Pubmed ID | |
| Authors |
Shawn T O’Neil, Scott J Emrich |
| Abstract |
Transcriptome sequencing and assembly represent a great resource for the study of non-model species, and many metrics have been used to evaluate and compare these assemblies. Unfortunately, it is still unclear which of these metrics accurately reflect assembly quality. |
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 | 8 | 33% |
| United Kingdom | 3 | 13% |
| Spain | 1 | 4% |
| Hong Kong | 1 | 4% |
| Canada | 1 | 4% |
| Japan | 1 | 4% |
| Belgium | 1 | 4% |
| India | 1 | 4% |
| Australia | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Scientists | 9 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 2% |
| United States | 6 | 2% |
| Spain | 3 | <1% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| Sweden | 2 | <1% |
| Brazil | 2 | <1% |
| Austria | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 10 | 3% |
| Unknown | 267 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 83 | 27% |
| Researcher | 63 | 21% |
| Student > Master | 41 | 14% |
| Student > Bachelor | 28 | 9% |
| Other | 16 | 5% |
| Other | 48 | 16% |
| Unknown | 24 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 182 | 60% |
| Biochemistry, Genetics and Molecular Biology | 56 | 18% |
| Computer Science | 12 | 4% |
| Environmental Science | 4 | 1% |
| Neuroscience | 4 | 1% |
| Other | 12 | 4% |
| Unknown | 33 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 04 May 2023.
All research outputs
#2,339,500
of 26,017,215 outputs
Outputs from BMC Genomics
#605
of 11,367 outputs
Outputs of similar age
#19,286
of 210,608 outputs
Outputs of similar age from BMC Genomics
#18
of 189 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 90th 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 94% 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 210,608 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 189 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 90% of its contemporaries.