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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies
|
|---|---|
| Published in |
BMC Bioinformatics, October 2014
|
| DOI | 10.1186/1471-2105-15-333 |
| Pubmed ID | |
| Authors |
Mohammad Ali Moni, Pietro Liò |
| Abstract |
Infections are often associated to comorbidity that increases the risk of medical conditions whichcan lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but thecomorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather haveHIV than diabetes" as life expectancy among diabetes patients is lower than that of HIV. However,HIV has a comorbidity impact on the diabetes. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 15% |
| Spain | 2 | 15% |
| France | 1 | 8% |
| Zimbabwe | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 192 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 16% |
| Student > Master | 27 | 14% |
| Student > Ph. D. Student | 26 | 13% |
| Student > Bachelor | 22 | 11% |
| Other | 8 | 4% |
| Other | 32 | 16% |
| Unknown | 47 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 18% |
| Biochemistry, Genetics and Molecular Biology | 25 | 13% |
| Nursing and Health Professions | 13 | 7% |
| Agricultural and Biological Sciences | 12 | 6% |
| Computer Science | 10 | 5% |
| Other | 36 | 19% |
| Unknown | 63 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 01 February 2020.
All research outputs
#2,915,495
of 22,768,097 outputs
Outputs from BMC Bioinformatics
#1,017
of 7,273 outputs
Outputs of similar age
#35,590
of 260,971 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 139 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 260,971 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 86% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.