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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Observation of “Seesaw Effect” with Vancomycin, Teicoplanin, Daptomycin and Ceftaroline in 150 Unique MRSA Strains
|
|---|---|
| Published in |
Infectious Diseases and Therapy, January 2014
|
| DOI | 10.1007/s40121-014-0023-0 |
| Pubmed ID | |
| Authors |
Katie E. Barber, Cortney E. Ireland, Natalia Bukavyn, Michael J. Rybak |
| Abstract |
Vancomycin (VAN) failures associated with the treatment of complicated methicillin-resistant Staphylococcus aureus (MRSA) infections have been well described. The reported "seesaw effect" demonstrates improved β-lactam activity when VAN and/or daptomycin (DAP) susceptibility decreases. However, there are minimal data comparing ceftaroline (CPT) susceptibility with these agents or teicoplanin (TEI). Therefore, to further explore the seesaw effect, we evaluated the relationship between CPT and VAN, TEI, and DAP susceptibilities. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 6 | 17% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Other | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 28% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Agricultural and Biological Sciences | 5 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 11% |
| Immunology and Microbiology | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 October 2022.
All research outputs
#6,364,961
of 23,482,849 outputs
Outputs from Infectious Diseases and Therapy
#222
of 718 outputs
Outputs of similar age
#73,752
of 308,590 outputs
Outputs of similar age from Infectious Diseases and Therapy
#2
of 2 outputs
Altmetric has tracked 23,482,849 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 68% 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 308,590 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 75% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.