You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
flowCore: a Bioconductor package for high throughput flow cytometry
|
|---|---|
| Published in |
BMC Bioinformatics, April 2009
|
| DOI | 10.1186/1471-2105-10-106 |
| Pubmed ID | |
| Authors |
Florian Hahne, Nolwenn LeMeur, Ryan R Brinkman, Byron Ellis, Perry Haaland, Deepayan Sarkar, Josef Spidlen, Errol Strain, Robert Gentleman |
X Demographics
The data shown below were collected from the profiles of 22 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 | 5 | 23% |
| United States | 4 | 18% |
| Nigeria | 2 | 9% |
| South Africa | 1 | 5% |
| Austria | 1 | 5% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| Comoros | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 68% |
| Scientists | 5 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 4 | 1% |
| Germany | 3 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Finland | 1 | <1% |
| Slovakia | 1 | <1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 316 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 26% |
| Researcher | 79 | 23% |
| Student > Master | 38 | 11% |
| Student > Bachelor | 27 | 8% |
| Student > Doctoral Student | 14 | 4% |
| Other | 40 | 12% |
| Unknown | 53 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 113 | 33% |
| Biochemistry, Genetics and Molecular Biology | 50 | 15% |
| Immunology and Microbiology | 32 | 9% |
| Medicine and Dentistry | 29 | 9% |
| Engineering | 12 | 4% |
| Other | 40 | 12% |
| Unknown | 63 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 21 October 2021.
All research outputs
#1,666,151
of 25,134,448 outputs
Outputs from BMC Bioinformatics
#293
of 7,654 outputs
Outputs of similar age
#4,709
of 103,175 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 34 outputs
Altmetric has tracked 25,134,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,654 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 96% 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 103,175 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 95% of its contemporaries.
We're also able to compare this research output to 34 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 97% of its contemporaries.