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 |
Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction
|
|---|---|
| Published in |
Genome Biology, September 2022
|
| DOI | 10.1186/s13059-022-02749-0 |
| Pubmed ID | |
| Authors |
Jolene S. Ranek, Natalie Stanley, Jeremy E. Purvis |
X Demographics
The data shown below were collected from the profiles of 67 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 | 18 | 27% |
| United Kingdom | 4 | 6% |
| Germany | 4 | 6% |
| Sweden | 2 | 3% |
| Spain | 2 | 3% |
| Australia | 2 | 3% |
| India | 2 | 3% |
| France | 2 | 3% |
| Italy | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 21 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 38 | 57% |
| Members of the public | 26 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Researcher | 10 | 18% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 24% |
| Agricultural and Biological Sciences | 9 | 16% |
| Computer Science | 3 | 5% |
| Engineering | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 06 November 2022.
All research outputs
#1,206,805
of 25,816,430 outputs
Outputs from Genome Biology
#893
of 4,520 outputs
Outputs of similar age
#26,880
of 434,665 outputs
Outputs of similar age from Genome Biology
#14
of 60 outputs
Altmetric has tracked 25,816,430 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 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 80% 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 434,665 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 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.