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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Letting the data speak for themselves: a fully Bayesian approach to transcriptome assembly
|
|---|---|
| Published in |
Genome Biology, October 2014
|
| DOI | 10.1186/s13059-014-0498-8 |
| Pubmed ID | |
| Authors |
Marcel H Schulz |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| Germany | 2 | 11% |
| Singapore | 1 | 6% |
| Japan | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 8 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 19% |
| United Kingdom | 2 | 10% |
| Sweden | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 13 | 62% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 38% |
| Student > Ph. D. Student | 6 | 29% |
| Professor > Associate Professor | 3 | 14% |
| Professor | 2 | 10% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 52% |
| Computer Science | 5 | 24% |
| Immunology and Microbiology | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 November 2014.
All research outputs
#3,201,750
of 25,371,288 outputs
Outputs from Genome Biology
#2,331
of 4,467 outputs
Outputs of similar age
#36,077
of 274,536 outputs
Outputs of similar age from Genome Biology
#53
of 119 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 274,536 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.