| Title |
Novel Organism Verification and Analysis (NOVA) study: identification of 35 clinical isolates representing potentially novel bacterial taxa using a pipeline based on whole genome sequencing
|
|---|---|
| Published in |
BMC Microbiology, January 2024
|
| DOI | 10.1186/s12866-023-03163-7 |
| Pubmed ID | |
| Authors |
Veronika Muigg, Helena M.B. Seth-Smith, Kai-Manuel Adam, Maja Weisser, Vladimira Hinić, Annette Blaich, Tim Roloff, Ulrich Heininger, Hanna Schmid, Maurus Kohler, Lukas Graf, Dylan M. Winterflood, Pascal Schlaepfer, Daniel Goldenberger |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| Poland | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 29% |
| Student > Master | 1 | 14% |
| Unspecified | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 43% |
| Unspecified | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 280. 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 19 February 2024.
All research outputs
#126,662
of 25,390,203 outputs
Outputs from BMC Microbiology
#3
of 3,486 outputs
Outputs of similar age
#1,651
of 317,970 outputs
Outputs of similar age from BMC Microbiology
#1
of 48 outputs
Altmetric has tracked 25,390,203 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 3,486 research outputs from this source. They receive a mean Attention Score of 4.3. 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 317,970 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 48 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 99% of its contemporaries.