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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Polymorphic edge detection (PED): two efficient methods of polymorphism detection from next-generation sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2955-6 |
| Pubmed ID | |
| Authors |
Akio Miyao, Jianyu Song Kiyomiya, Keiko Iida, Koji Doi, Hiroshi Yasue |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 33% |
| Student > Bachelor | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Other | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 53% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Social Sciences | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 September 2019.
All research outputs
#13,900,658
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#4,306
of 7,418 outputs
Outputs of similar age
#175,993
of 351,929 outputs
Outputs of similar age from BMC Bioinformatics
#99
of 160 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 351,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.