| Title |
A 10-step guide to party conversation for bioinformaticians
|
|---|---|
| Published in |
Genome Biology, January 2013
|
| DOI | 10.1186/gb-2013-14-1-104 |
| Pubmed ID | |
| Authors |
Alicia Oshlack |
Twitter Demographics
The data shown below were collected from the profiles of 261 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 53 | 20% |
| United Kingdom | 32 | 12% |
| Australia | 21 | 8% |
| Germany | 12 | 5% |
| Spain | 12 | 5% |
| Canada | 10 | 4% |
| India | 7 | 3% |
| France | 3 | 1% |
| Japan | 3 | 1% |
| Other | 30 | 11% |
| Unknown | 78 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 128 | 49% |
| Members of the public | 123 | 47% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Germany | 5 | 3% |
| Ghana | 2 | 1% |
| United Kingdom | 2 | 1% |
| France | 2 | 1% |
| Sweden | 1 | <1% |
| Peru | 1 | <1% |
| Canada | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 149 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 37% |
| Student > Ph. D. Student | 31 | 18% |
| Student > Master | 19 | 11% |
| Other | 11 | 6% |
| Student > Bachelor | 10 | 6% |
| Other | 29 | 17% |
| Unknown | 8 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 96 | 56% |
| Biochemistry, Genetics and Molecular Biology | 28 | 16% |
| Computer Science | 12 | 7% |
| Medicine and Dentistry | 7 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Other | 17 | 10% |
| Unknown | 6 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 191. 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 28 August 2023.
All research outputs
#196,983
of 24,526,614 outputs
Outputs from Genome Biology
#64
of 4,342 outputs
Outputs of similar age
#1,297
of 290,258 outputs
Outputs of similar age from Genome Biology
#3
of 175 outputs
Altmetric has tracked 24,526,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. 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 290,258 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 99% of its contemporaries.
We're also able to compare this research output to 175 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.