| Title |
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
|
|---|---|
| Published in |
Nature Communications, June 2021
|
| DOI | 10.1038/s41467-021-23667-y |
| Pubmed ID | |
| Authors |
Erwin M. Schoof, Benjamin Furtwängler, Nil Üresin, Nicolas Rapin, Simonas Savickas, Coline Gentil, Eric Lechman, Ulrich auf dem Keller, John E. Dick, Bo T. Porse |
X Demographics
The data shown below were collected from the profiles of 131 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 | 26 | 20% |
| Denmark | 13 | 10% |
| United Kingdom | 10 | 8% |
| Australia | 7 | 5% |
| Canada | 6 | 5% |
| Germany | 6 | 5% |
| Spain | 5 | 4% |
| Switzerland | 4 | 3% |
| India | 3 | 2% |
| Other | 20 | 15% |
| Unknown | 31 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 55% |
| Scientists | 51 | 39% |
| Science communicators (journalists, bloggers, editors) | 7 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 301 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 18% |
| Researcher | 52 | 17% |
| Student > Master | 24 | 8% |
| Student > Bachelor | 22 | 7% |
| Student > Postgraduate | 12 | 4% |
| Other | 42 | 14% |
| Unknown | 95 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 29% |
| Agricultural and Biological Sciences | 37 | 12% |
| Chemistry | 22 | 7% |
| Immunology and Microbiology | 8 | 3% |
| Engineering | 8 | 3% |
| Other | 35 | 12% |
| Unknown | 103 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 29 October 2021.
All research outputs
#444,762
of 24,641,327 outputs
Outputs from Nature Communications
#7,489
of 53,292 outputs
Outputs of similar age
#12,355
of 437,812 outputs
Outputs of similar age from Nature Communications
#339
of 1,995 outputs
Altmetric has tracked 24,641,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,292 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has done well, scoring higher than 85% 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 437,812 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 97% of its contemporaries.
We're also able to compare this research output to 1,995 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.