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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads
|
|---|---|
| Published in |
BMC Genomics, November 2010
|
| DOI | 10.1186/1471-2164-11-663 |
| Pubmed ID | |
| Authors |
Jeffrey Martin, Vincent M Bruno, Zhide Fang, Xiandong Meng, Matthew Blow, Tao Zhang, Gavin Sherlock, Michael Snyder, Zhong Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 4% |
| Germany | 7 | 2% |
| Canada | 6 | 1% |
| France | 4 | <1% |
| Italy | 4 | <1% |
| China | 4 | <1% |
| Brazil | 4 | <1% |
| Sweden | 3 | <1% |
| Japan | 3 | <1% |
| Other | 13 | 3% |
| Unknown | 373 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 138 | 31% |
| Student > Ph. D. Student | 115 | 26% |
| Student > Master | 51 | 12% |
| Professor > Associate Professor | 28 | 6% |
| Student > Bachelor | 19 | 4% |
| Other | 63 | 14% |
| Unknown | 25 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 286 | 65% |
| Biochemistry, Genetics and Molecular Biology | 57 | 13% |
| Computer Science | 27 | 6% |
| Engineering | 8 | 2% |
| Environmental Science | 7 | 2% |
| Other | 25 | 6% |
| Unknown | 29 | 7% |
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 27 April 2019.
All research outputs
#2,785,063
of 22,653,392 outputs
Outputs from BMC Genomics
#1,003
of 10,607 outputs
Outputs of similar age
#17,100
of 179,773 outputs
Outputs of similar age from BMC Genomics
#8
of 84 outputs
Altmetric has tracked 22,653,392 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 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 179,773 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 84 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.