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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Community-wide hackathons to identify central themes in single-cell multi-omics
|
|---|---|
| Published in |
Genome Biology, August 2021
|
| DOI | 10.1186/s13059-021-02433-9 |
| Pubmed ID | |
| Authors |
Kim-Anh Lê Cao, Al J. Abadi, Emily F. Davis-Marcisak, Lauren Hsu, Arshi Arora, Alexis Coullomb, Atul Deshpande, Yuzhou Feng, Pratheepa Jeganathan, Melanie Loth, Chen Meng, Wancen Mu, Vera Pancaldi, Kris Sankaran, Dario Righelli, Amrit Singh, Joshua S. Sodicoff, Genevieve L. Stein-O’Brien, Ayshwarya Subramanian, Joshua D. Welch, Yue You, Ricard Argelaguet, Vincent J. Carey, Ruben Dries, Casey S. Greene, Susan Holmes, Michael I. Love, Matthew E. Ritchie, Guo-Cheng Yuan, Aedin C. Culhane, Elana Fertig |
X Demographics
The data shown below were collected from the profiles of 83 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 | 25 | 30% |
| Australia | 7 | 8% |
| United Kingdom | 5 | 6% |
| Italy | 3 | 4% |
| Germany | 3 | 4% |
| France | 3 | 4% |
| India | 2 | 2% |
| Spain | 2 | 2% |
| Norway | 1 | 1% |
| Other | 10 | 12% |
| Unknown | 22 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 42 | 51% |
| Members of the public | 37 | 45% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 10 | 24% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 27% |
| Agricultural and Biological Sciences | 5 | 12% |
| Chemical Engineering | 2 | 5% |
| Mathematics | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 16 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 October 2021.
All research outputs
#906,563
of 25,392,582 outputs
Outputs from Genome Biology
#620
of 4,470 outputs
Outputs of similar age
#22,127
of 437,943 outputs
Outputs of similar age from Genome Biology
#18
of 84 outputs
Altmetric has tracked 25,392,582 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 4,470 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 86% 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 437,943 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 94% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.