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 |
Pheno-seq – linking visual features and gene expression in 3D cell culture systems
|
|---|---|
| Published in |
Scientific Reports, August 2019
|
| DOI | 10.1038/s41598-019-48771-4 |
| Pubmed ID | |
| Authors |
Stephan M. Tirier, Jeongbin Park, Friedrich Preußer, Lisa Amrhein, Zuguang Gu, Simon Steiger, Jan-Philipp Mallm, Teresa Krieger, Marcel Waschow, Björn Eismann, Marta Gut, Ivo G. Gut, Karsten Rippe, Matthias Schlesner, Fabian Theis, Christiane Fuchs, Claudia R. Ball, Hanno Glimm, Roland Eils, Christian Conrad |
X Demographics
The data shown below were collected from the profiles of 40 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 | 9 | 23% |
| Germany | 6 | 15% |
| Italy | 1 | 3% |
| New Zealand | 1 | 3% |
| Spain | 1 | 3% |
| Ireland | 1 | 3% |
| Belgium | 1 | 3% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 55% |
| Scientists | 16 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 14 | 17% |
| Student > Master | 9 | 11% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 36% |
| Agricultural and Biological Sciences | 8 | 10% |
| Medicine and Dentistry | 7 | 9% |
| Physics and Astronomy | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 22 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 22 December 2020.
All research outputs
#1,454,886
of 22,919,505 outputs
Outputs from Scientific Reports
#13,881
of 123,821 outputs
Outputs of similar age
#32,695
of 339,313 outputs
Outputs of similar age from Scientific Reports
#410
of 3,419 outputs
Altmetric has tracked 22,919,505 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 123,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 88% 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 339,313 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 90% of its contemporaries.
We're also able to compare this research output to 3,419 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.