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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ddSeeker: a tool for processing Bio-Rad ddSEQ single cell RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5249-x |
| Pubmed ID | |
| Authors |
Dario Romagnoli, Giulia Boccalini, Martina Bonechi, Chiara Biagioni, Paola Fassan, Roberto Bertorelli, Veronica De Sanctis, Angelo Di Leo, Ilenia Migliaccio, Luca Malorni, Matteo Benelli |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 29% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 30% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 30% |
| Agricultural and Biological Sciences | 6 | 15% |
| Neuroscience | 3 | 8% |
| Chemistry | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 October 2020.
All research outputs
#3,960,848
of 24,157,645 outputs
Outputs from BMC Genomics
#1,490
of 10,915 outputs
Outputs of similar age
#84,855
of 444,777 outputs
Outputs of similar age from BMC Genomics
#42
of 239 outputs
Altmetric has tracked 24,157,645 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,915 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 444,777 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 80% of its contemporaries.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.