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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating spatially variable gene detection methods for spatial transcriptomics data
|
|---|---|
| Published in |
Genome Biology, January 2024
|
| DOI | 10.1186/s13059-023-03145-y |
| Pubmed ID | |
| Authors |
Carissa Chen, Hani Jieun Kim, Pengyi Yang |
X Demographics
The data shown below were collected from the profiles of 47 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 | 12 | 26% |
| Australia | 8 | 17% |
| India | 3 | 6% |
| Germany | 3 | 6% |
| China | 2 | 4% |
| Colombia | 1 | 2% |
| Italy | 1 | 2% |
| Mexico | 1 | 2% |
| Czechia | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 12 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 60% |
| Members of the public | 15 | 32% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 38% |
| Researcher | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 38% |
| Mathematics | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 04 March 2024.
All research outputs
#1,671,573
of 25,813,008 outputs
Outputs from Genome Biology
#1,352
of 4,520 outputs
Outputs of similar age
#25,538
of 355,090 outputs
Outputs of similar age from Genome Biology
#15
of 74 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% 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 27.6. This one has gotten more attention than average, scoring higher than 70% 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 355,090 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 92% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.