You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide identification of pathogenicity factors of the free-living amoeba Naegleria fowleri
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-496 |
| Pubmed ID | |
| Authors |
Denise C Zysset-Burri, Norbert Müller, Christian Beuret, Manfred Heller, Nadia Schürch, Bruno Gottstein, Matthias Wittwer |
| Abstract |
The free-living amoeba Naegleria fowleri is the causative agent of the rapidly progressing and typically fatal primary amoebic meningoencephalitis (PAM) in humans. Despite the devastating nature of this disease, which results in > 97% mortality, knowledge of the pathogenic mechanisms of the amoeba is incomplete. This work presents a comparative proteomic approach based on an experimental model in which the pathogenic potential of N. fowleri trophozoites is influenced by the compositions of different media. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| Portugal | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 133 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 18% |
| Researcher | 22 | 16% |
| Student > Master | 20 | 15% |
| Student > Ph. D. Student | 16 | 12% |
| Professor > Associate Professor | 7 | 5% |
| Other | 22 | 16% |
| Unknown | 26 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 28% |
| Biochemistry, Genetics and Molecular Biology | 33 | 24% |
| Medicine and Dentistry | 10 | 7% |
| Immunology and Microbiology | 7 | 5% |
| Environmental Science | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 31 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 08 August 2014.
All research outputs
#1,387,403
of 22,758,963 outputs
Outputs from BMC Genomics
#290
of 10,637 outputs
Outputs of similar age
#14,818
of 228,245 outputs
Outputs of similar age from BMC Genomics
#6
of 203 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. 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 228,245 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 93% of its contemporaries.
We're also able to compare this research output to 203 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.