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Mendeley readers
Attention Score in Context
| Title |
Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1161 |
| Pubmed ID | |
| Authors |
Christian Selinger, Jennifer Tisoncik-Go, Vineet D Menachery, Sudhakar Agnihothram, G Lynn Law, Jean Chang, Sara M Kelly, Pavel Sova, Ralph S Baric, Michael G Katze |
| Abstract |
The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic and pathogenic potential of emerging coronaviruses in humans. Clinical features of Middle East respiratory syndrome (MERS) include atypical pneumonia and progressive respiratory failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV SA 1 and MERS-CoV Eng 1. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 80 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 17 | 21% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 19% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Immunology and Microbiology | 9 | 11% |
| Medicine and Dentistry | 9 | 11% |
| Veterinary Science and Veterinary Medicine | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 19 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2016.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from BMC Genomics
#9,269
of 10,642 outputs
Outputs of similar age
#295,783
of 353,034 outputs
Outputs of similar age from BMC Genomics
#225
of 250 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 353,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.