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X Demographics
Mendeley readers
Attention Score in Context
| Title |
INDELseek: detection of complex insertions and deletions from next-generation sequencing data
|
|---|---|
| Published in |
BMC Genomics, January 2017
|
| DOI | 10.1186/s12864-016-3449-9 |
| Pubmed ID | |
| Authors |
Chun Hang Au, Anskar Y. H. Leung, Ava Kwong, Tsun Leung Chan, Edmond S. K. Ma |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 1% |
| France | 1 | 1% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 10 | 14% |
| Other | 8 | 11% |
| Student > Master | 7 | 10% |
| Other | 9 | 13% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 30% |
| Biochemistry, Genetics and Molecular Biology | 17 | 24% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 15 | 21% |
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 June 2019.
All research outputs
#4,105,309
of 23,100,534 outputs
Outputs from BMC Genomics
#1,662
of 10,707 outputs
Outputs of similar age
#81,339
of 421,830 outputs
Outputs of similar age from BMC Genomics
#41
of 229 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,707 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 421,830 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 80% of its contemporaries.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.