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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SQUAT: a Sequencing Quality Assessment Tool for data quality assessments of genome assemblies
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5445-3 |
| Pubmed ID | |
| Authors |
Li-An Yang, Yu-Jung Chang, Shu-Hwa Chen, Chung-Yen Lin, Jan-Ming Ho |
X Demographics
The data shown below were collected from the profiles of 62 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 Kingdom | 9 | 15% |
| France | 6 | 10% |
| United States | 4 | 6% |
| Canada | 4 | 6% |
| Netherlands | 3 | 5% |
| Spain | 3 | 5% |
| New Zealand | 2 | 3% |
| Japan | 2 | 3% |
| Iceland | 1 | 2% |
| Other | 10 | 16% |
| Unknown | 18 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 39 | 63% |
| Members of the public | 22 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 11 | 12% |
| Professor > Associate Professor | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 38% |
| Agricultural and Biological Sciences | 22 | 24% |
| Computer Science | 4 | 4% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 19 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 05 September 2019.
All research outputs
#1,195,884
of 25,389,532 outputs
Outputs from BMC Genomics
#184
of 11,246 outputs
Outputs of similar age
#27,118
of 363,552 outputs
Outputs of similar age from BMC Genomics
#4
of 228 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,246 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 363,552 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 92% of its contemporaries.
We're also able to compare this research output to 228 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 98% of its contemporaries.