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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
|
|---|---|
| Published in |
BMC Genomics, June 2018
|
| DOI | 10.1186/s12864-018-4772-0 |
| Pubmed ID | |
| Authors |
Kelly Street, Davide Risso, Russell B. Fletcher, Diya Das, John Ngai, Nir Yosef, Elizabeth Purdom, Sandrine Dudoit |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Australia | 1 | 9% |
| United Kingdom | 1 | 9% |
| Japan | 1 | 9% |
| France | 1 | 9% |
| Norway | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1190 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 299 | 25% |
| Researcher | 200 | 17% |
| Student > Master | 122 | 10% |
| Student > Bachelor | 117 | 10% |
| Student > Doctoral Student | 47 | 4% |
| Other | 111 | 9% |
| Unknown | 294 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 349 | 29% |
| Agricultural and Biological Sciences | 146 | 12% |
| Immunology and Microbiology | 88 | 7% |
| Medicine and Dentistry | 70 | 6% |
| Computer Science | 57 | 5% |
| Other | 158 | 13% |
| Unknown | 322 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 27 September 2023.
All research outputs
#999,359
of 25,837,817 outputs
Outputs from BMC Genomics
#126
of 11,320 outputs
Outputs of similar age
#21,283
of 344,240 outputs
Outputs of similar age from BMC Genomics
#1
of 226 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 344,240 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 93% of its contemporaries.
We're also able to compare this research output to 226 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.