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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Making genome browsers portable and personal
|
|---|---|
| Published in |
Genome Biology, July 2018
|
| DOI | 10.1186/s13059-018-1470-9 |
| Pubmed ID | |
| Authors |
Aziz Khan, Xuegong Zhang |
| Abstract |
GIVE is a framework and library for creating portable and personalized genome browsers. It makes visualizing genomic data as easy as building a laboratory homepage. |
X Demographics
The data shown below were collected from the profiles of 47 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 | 9 | 19% |
| United Kingdom | 5 | 11% |
| France | 3 | 6% |
| Netherlands | 2 | 4% |
| India | 2 | 4% |
| Spain | 1 | 2% |
| Armenia | 1 | 2% |
| New Zealand | 1 | 2% |
| Canada | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 16 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 64% |
| Members of the public | 13 | 28% |
| Practitioners (doctors, other healthcare professionals) | 4 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 36% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 43% |
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Design | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 14 July 2020.
All research outputs
#1,489,565
of 25,385,509 outputs
Outputs from Genome Biology
#1,190
of 4,468 outputs
Outputs of similar age
#30,848
of 340,475 outputs
Outputs of similar age from Genome Biology
#25
of 54 outputs
Altmetric has tracked 25,385,509 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 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 340,475 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 90% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.