| Title |
Rational design of a new antibiotic class for drug-resistant infections
|
|---|---|
| Published in |
Nature, September 2021
|
| DOI | 10.1038/s41586-021-03899-0 |
| Pubmed ID | |
| Authors |
Thomas F. Durand-Reville, Alita A. Miller, John P. O’Donnell, Xiaoyun Wu, Mark A. Sylvester, Satenig Guler, Ramkumar Iyer, Adam B. Shapiro, Nicole M. Carter, Camilo Velez-Vega, Samir H. Moussa, Sarah M. McLeod, April Chen, Angela M. Tanudra, Jing Zhang, Janelle Comita-Prevoir, Jan A. Romero, Hoan Huynh, Andrew D. Ferguson, Peter S. Horanyi, Stephen J. Mayclin, Henry S. Heine, George L. Drusano, Jason E. Cummings, Richard A. Slayden, Ruben A. Tommasi |
X Demographics
The data shown below were collected from the profiles of 188 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 | 30 | 16% |
| India | 8 | 4% |
| France | 7 | 4% |
| Spain | 6 | 3% |
| Canada | 6 | 3% |
| Australia | 6 | 3% |
| United Kingdom | 6 | 3% |
| Japan | 3 | 2% |
| Russia | 3 | 2% |
| Other | 24 | 13% |
| Unknown | 89 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 118 | 63% |
| Scientists | 62 | 33% |
| Science communicators (journalists, bloggers, editors) | 5 | 3% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 176 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 20% |
| Researcher | 31 | 18% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 15 | 9% |
| Student > Doctoral Student | 6 | 3% |
| Other | 26 | 15% |
| Unknown | 47 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 28% |
| Chemistry | 26 | 15% |
| Agricultural and Biological Sciences | 11 | 6% |
| Immunology and Microbiology | 11 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 5% |
| Other | 22 | 13% |
| Unknown | 49 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 241. 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 09 November 2023.
All research outputs
#157,101
of 25,617,409 outputs
Outputs from Nature
#9,872
of 98,369 outputs
Outputs of similar age
#4,332
of 434,910 outputs
Outputs of similar age from Nature
#243
of 980 outputs
Altmetric has tracked 25,617,409 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 98,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done well, scoring higher than 89% 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 434,910 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 980 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.