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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell transcriptomics reveals a mechanosensitive injury signaling pathway in early diabetic nephropathy
|
|---|---|
| Published in |
Genome Medicine, January 2023
|
| DOI | 10.1186/s13073-022-01145-4 |
| Pubmed ID | |
| Authors |
Shuya Liu, Yu Zhao, Shun Lu, Tianran Zhang, Maja T. Lindenmeyer, Viji Nair, Sydney E. Gies, Guochao Wu, Robert G. Nelson, Jan Czogalla, Hande Aypek, Stephanie Zielinski, Zhouning Liao, Melanie Schaper, Damian Fermin, Clemens D. Cohen, Denis Delic, Christian F. Krebs, Florian Grahammer, Thorsten Wiech, Matthias Kretzler, Catherine Meyer-Schwesinger, Stefan Bonn, Tobias B. Huber |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| United Kingdom | 2 | 11% |
| Germany | 2 | 11% |
| Guinea | 1 | 6% |
| India | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 19% |
| Medicine and Dentistry | 2 | 13% |
| Unspecified | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 May 2023.
All research outputs
#3,531,298
of 25,387,480 outputs
Outputs from Genome Medicine
#760
of 1,579 outputs
Outputs of similar age
#71,283
of 478,574 outputs
Outputs of similar age from Genome Medicine
#15
of 23 outputs
Altmetric has tracked 25,387,480 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 51% 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 478,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.