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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions
|
|---|---|
| Published in |
Genome Biology, January 2024
|
| DOI | 10.1186/s13059-023-03159-6 |
| Pubmed ID | |
| Authors |
Kaishu Mason, Anuja Sathe, Paul R. Hess, Jiazhen Rong, Chi-Yun Wu, Emma Furth, Katalin Susztak, Jonathan Levinsohn, Hanlee P. Ji, Nancy Zhang |
X Demographics
The data shown below were collected from the profiles of 81 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 | 24 | 30% |
| Canada | 3 | 4% |
| Germany | 3 | 4% |
| United Kingdom | 3 | 4% |
| Australia | 2 | 2% |
| Israel | 2 | 2% |
| India | 2 | 2% |
| Sweden | 1 | 1% |
| Taiwan | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 33 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 39 | 48% |
| Members of the public | 38 | 47% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Agricultural and Biological Sciences | 3 | 13% |
| Unspecified | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 15 | 63% |
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 16 March 2024.
All research outputs
#1,016,211
of 25,836,587 outputs
Outputs from Genome Biology
#706
of 4,523 outputs
Outputs of similar age
#16,069
of 357,727 outputs
Outputs of similar age from Genome Biology
#7
of 78 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 84% 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 357,727 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 95% of its contemporaries.
We're also able to compare this research output to 78 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 91% of its contemporaries.