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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MAAPER: model-based analysis of alternative polyadenylation using 3′ end-linked reads
|
|---|---|
| Published in |
Genome Biology, August 2021
|
| DOI | 10.1186/s13059-021-02429-5 |
| Pubmed ID | |
| Authors |
Wei Vivian Li, Dinghai Zheng, Ruijia Wang, Bin Tian |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| United Kingdom | 2 | 13% |
| Italy | 1 | 7% |
| Sweden | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 47% |
| Members of the public | 7 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 36% |
| Student > Bachelor | 2 | 14% |
| Student > Master | 2 | 14% |
| Researcher | 2 | 14% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 36% |
| Computer Science | 2 | 14% |
| Agricultural and Biological Sciences | 2 | 14% |
| Neuroscience | 1 | 7% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 September 2021.
All research outputs
#4,597,772
of 25,392,582 outputs
Outputs from Genome Biology
#2,731
of 4,470 outputs
Outputs of similar age
#96,989
of 436,785 outputs
Outputs of similar age from Genome Biology
#66
of 85 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 38th percentile – i.e., 38% 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 436,785 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 77% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.