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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Severe Childhood Malaria Syndromes Defined by Plasma Proteome Profiles
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0049778 |
| Pubmed ID | |
| Authors |
Florence Burté, Biobele J. Brown, Adebola E. Orimadegun, Wasiu A. Ajetunmobi, Francesca Battaglia, Barry K. Ely, Nathaniel K. Afolabi, Dimitrios Athanasakis, Francis Akinkunmi, Olayinka Kowobari, Samuel Omokhodion, Kikelomo Osinusi, Felix O. Akinbami, Wuraola A. Shokunbi, Olugbemiro Sodeinde, Delmiro Fernandez-Reyes |
| Abstract |
Cerebral malaria (CM) and severe malarial anemia (SMA) are the most serious life-threatening clinical syndromes of Plasmodium falciparum infection in childhood. Therefore it is important to understand the pathology underlying the development of CM and SMA, as opposed to uncomplicated malaria (UM). Different host responses to infection are likely to be reflected in plasma proteome-patterns that associate with clinical status and therefore provide indicators of the pathogenesis of these syndromes. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Kenya | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Lecturer | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 29% |
| Agricultural and Biological Sciences | 9 | 18% |
| Immunology and Microbiology | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Computer Science | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 December 2012.
All research outputs
#12,573,527
of 22,687,320 outputs
Outputs from PLOS ONE
#97,109
of 193,653 outputs
Outputs of similar age
#148,497
of 277,752 outputs
Outputs of similar age from PLOS ONE
#2,065
of 4,758 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 277,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,758 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.