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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Choice of pre-processing pipeline influences clustering quality of scRNA-seq datasets
|
|---|---|
| Published in |
BMC Genomics, September 2021
|
| DOI | 10.1186/s12864-021-07930-6 |
| Pubmed ID | |
| Authors |
Inbal Shainer, Manuel Stemmer |
X Demographics
The data shown below were collected from the profiles of 15 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 | 3 | 20% |
| Denmark | 1 | 7% |
| Japan | 1 | 7% |
| United Kingdom | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 25% |
| Agricultural and Biological Sciences | 8 | 15% |
| Computer Science | 4 | 8% |
| Immunology and Microbiology | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 18 March 2022.
All research outputs
#2,463,240
of 25,529,543 outputs
Outputs from BMC Genomics
#658
of 11,275 outputs
Outputs of similar age
#55,756
of 434,719 outputs
Outputs of similar age from BMC Genomics
#5
of 144 outputs
Altmetric has tracked 25,529,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,275 research outputs from this source. They receive a mean Attention Score of 4.8. 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 434,719 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 87% of its contemporaries.
We're also able to compare this research output to 144 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.