| Title |
QuaPra: Efficient transcript assembly and quantification using quadratic programming with Apriori algorithm
|
|---|---|
| Published in |
Science China Life Sciences, May 2019
|
| DOI | 10.1007/s11427-018-9433-3 |
| Pubmed ID | |
| Authors |
Xiangjun Ji, Weida Tong, Baitang Ning, Christopher E. Mason, David P. Kreil, Pawel P. Labaj, Geng Chen, Tieliu Shi |
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 % |
|---|---|---|
| Unknown | 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Business, Management and Accounting | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 May 2019.
All research outputs
#20,572,330
of 23,149,216 outputs
Outputs from Science China Life Sciences
#776
of 1,016 outputs
Outputs of similar age
#298,664
of 350,389 outputs
Outputs of similar age from Science China Life Sciences
#14
of 18 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% 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 350,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.