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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments
|
|---|---|
| Published in |
BMC Bioinformatics, May 2020
|
| DOI | 10.1186/s12859-020-3538-2 |
| Pubmed ID | |
| Authors |
H. Atakan Ekiz, Christopher J. Conley, W. Zac Stephens, Ryan M. O’Connell |
X Demographics
The data shown below were collected from the profiles of 20 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 | 5 | 25% |
| Austria | 2 | 10% |
| Australia | 2 | 10% |
| United Kingdom | 2 | 10% |
| Italy | 2 | 10% |
| Turkey | 1 | 5% |
| France | 1 | 5% |
| Japan | 1 | 5% |
| India | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 9 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 21% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 5 | 7% |
| Other | 7 | 9% |
| Unknown | 29 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Immunology and Microbiology | 6 | 8% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 4 | 5% |
| Computer Science | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 32 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 12 March 2023.
All research outputs
#2,060,565
of 25,468,708 outputs
Outputs from BMC Bioinformatics
#450
of 7,705 outputs
Outputs of similar age
#57,046
of 422,003 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 111 outputs
Altmetric has tracked 25,468,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,705 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 94% 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 422,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 111 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.