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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolutionary origins and interactomes of human, young microproteins and small peptides translated from short open reading frames
|
|---|---|
| Published in |
Molecular Cell, February 2023
|
| DOI | 10.1016/j.molcel.2023.01.023 |
| Pubmed ID | |
| Authors |
Clara-L. Sandmann, Jana F. Schulz, Jorge Ruiz-Orera, Marieluise Kirchner, Matthias Ziehm, Eleonora Adami, Maike Marczenke, Annabel Christ, Nina Liebe, Johannes Greiner, Aaron Schoenenberger, Michael B. Muecke, Ning Liang, Robert L. Moritz, Zhi Sun, Eric W. Deutsch, Michael Gotthardt, Jonathan M. Mudge, John R. Prensner, Thomas E. Willnow, Philipp Mertins, Sebastiaan van Heesch, Norbert Hubner |
X Demographics
The data shown below were collected from the profiles of 165 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 | 32 | 19% |
| United Kingdom | 8 | 5% |
| Netherlands | 7 | 4% |
| Germany | 7 | 4% |
| Japan | 7 | 4% |
| France | 4 | 2% |
| Australia | 3 | 2% |
| Canada | 3 | 2% |
| Italy | 2 | 1% |
| Other | 11 | 7% |
| Unknown | 81 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 100 | 61% |
| Scientists | 58 | 35% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Unknown | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 21% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Master | 7 | 7% |
| Professor | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 34 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 31% |
| Agricultural and Biological Sciences | 9 | 9% |
| Immunology and Microbiology | 5 | 5% |
| Unspecified | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 39 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 245. 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 16 February 2024.
All research outputs
#156,018
of 25,813,008 outputs
Outputs from Molecular Cell
#37
of 7,695 outputs
Outputs of similar age
#4,175
of 430,136 outputs
Outputs of similar age from Molecular Cell
#2
of 95 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done particularly well, scoring higher than 99% 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 430,136 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 99% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.