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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring synteny between genome assemblies: a systematic evaluation
|
|---|---|
| Published in |
BMC Bioinformatics, January 2018
|
| DOI | 10.1186/s12859-018-2026-4 |
| Pubmed ID | |
| Authors |
Dang Liu, Martin Hunt, Isheng J Tsai |
X Demographics
The data shown below were collected from the profiles of 49 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 | 7 | 14% |
| United Kingdom | 5 | 10% |
| Spain | 3 | 6% |
| India | 2 | 4% |
| Ireland | 2 | 4% |
| Sweden | 2 | 4% |
| Norway | 1 | 2% |
| Canada | 1 | 2% |
| Iceland | 1 | 2% |
| Other | 7 | 14% |
| Unknown | 18 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 27 | 55% |
| Members of the public | 20 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 350 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 19% |
| Researcher | 64 | 18% |
| Student > Bachelor | 53 | 15% |
| Student > Master | 39 | 11% |
| Student > Doctoral Student | 21 | 6% |
| Other | 36 | 10% |
| Unknown | 69 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 112 | 32% |
| Agricultural and Biological Sciences | 112 | 32% |
| Computer Science | 12 | 3% |
| Environmental Science | 7 | 2% |
| Business, Management and Accounting | 4 | 1% |
| Other | 20 | 6% |
| Unknown | 83 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 19 December 2022.
All research outputs
#1,365,777
of 25,728,855 outputs
Outputs from BMC Bioinformatics
#153
of 7,738 outputs
Outputs of similar age
#31,509
of 451,544 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 123 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 451,544 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 93% of its contemporaries.
We're also able to compare this research output to 123 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 96% of its contemporaries.