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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
|
|---|---|
| Published in |
Genome Biology, March 2021
|
| DOI | 10.1186/s13059-021-02286-2 |
| Pubmed ID | |
| Authors |
Ruben Dries, Qian Zhu, Rui Dong, Chee-Huat Linus Eng, Huipeng Li, Kan Liu, Yuntian Fu, Tianxiao Zhao, Arpan Sarkar, Feng Bao, Rani E. George, Nico Pierson, Long Cai, Guo-Cheng Yuan |
X Demographics
The data shown below were collected from the profiles of 41 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 | 16 | 39% |
| Italy | 3 | 7% |
| United Kingdom | 3 | 7% |
| Switzerland | 2 | 5% |
| Australia | 2 | 5% |
| Denmark | 1 | 2% |
| Hong Kong | 1 | 2% |
| Sweden | 1 | 2% |
| Japan | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 26 | 63% |
| Members of the public | 13 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 380 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 19% |
| Student > Ph. D. Student | 64 | 17% |
| Student > Master | 29 | 8% |
| Student > Bachelor | 26 | 7% |
| Other | 11 | 3% |
| Other | 42 | 11% |
| Unknown | 137 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 90 | 24% |
| Computer Science | 34 | 9% |
| Agricultural and Biological Sciences | 29 | 8% |
| Medicine and Dentistry | 13 | 3% |
| Immunology and Microbiology | 10 | 3% |
| Other | 53 | 14% |
| Unknown | 151 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 09 August 2023.
All research outputs
#1,319,872
of 25,402,528 outputs
Outputs from Genome Biology
#1,023
of 4,470 outputs
Outputs of similar age
#36,583
of 452,413 outputs
Outputs of similar age from Genome Biology
#34
of 73 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 77% 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 452,413 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 91% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.