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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Empowering biologists to decode omics data: the Genekitr R package and web server
|
|---|---|
| Published in |
BMC Bioinformatics, May 2023
|
| DOI | 10.1186/s12859-023-05342-9 |
| Authors |
Yunze Liu, Gang Li |
Twitter Demographics
The data shown below were collected from the profiles of 209 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 | 27 | 13% |
| Spain | 10 | 5% |
| India | 9 | 4% |
| Mexico | 8 | 4% |
| Germany | 7 | 3% |
| United Kingdom | 6 | 3% |
| Brazil | 5 | 2% |
| China | 5 | 2% |
| Peru | 4 | 2% |
| Other | 36 | 17% |
| Unknown | 92 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 112 | 54% |
| Members of the public | 96 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 23% |
| Unspecified | 2 | 15% |
| Researcher | 2 | 15% |
| Professor | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Agricultural and Biological Sciences | 3 | 23% |
| Unspecified | 2 | 15% |
| Neuroscience | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 119. 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 June 2023.
All research outputs
#332,810
of 24,535,155 outputs
Outputs from BMC Bioinformatics
#10
of 7,551 outputs
Outputs of similar age
#7,243
of 368,560 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 107 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 368,560 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 98% of its contemporaries.
We're also able to compare this research output to 107 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 99% of its contemporaries.