| Title |
Modulating Protein–Protein Interactions with Visible‐Light‐Responsive Peptide Backbone Photoswitches
|
|---|---|
| Published in |
ChemBioChem, April 2019
|
| DOI | 10.1002/cbic.201800737 |
| Pubmed ID | |
| Authors |
Lea Albert, Alberto Peñalver, Nemanja Djokovic, Laura Werel, Malte Hoffarth, Dusan Ruzic, Jing Xu, Lars‐Oliver Essen, Katarina Nikolic, Yali Dou, Olalla Vázquez |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 9 | 26% |
| Germany | 9 | 26% |
| United States | 3 | 9% |
| France | 2 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Israel | 1 | 3% |
| Grenada | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 8 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 51% |
| Scientists | 13 | 37% |
| Science communicators (journalists, bloggers, editors) | 3 | 9% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 22% |
| Student > Master | 10 | 15% |
| Researcher | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 21 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 32 | 49% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 21 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 10 January 2020.
All research outputs
#1,835,524
of 24,325,299 outputs
Outputs from ChemBioChem
#122
of 5,857 outputs
Outputs of similar age
#41,007
of 354,671 outputs
Outputs of similar age from ChemBioChem
#7
of 116 outputs
Altmetric has tracked 24,325,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,857 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 97% 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 354,671 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 88% of its contemporaries.
We're also able to compare this research output to 116 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 94% of its contemporaries.