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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systems-based approach to analyse the host response in murine lung macrophages challenged with respiratory syncytial virus
|
|---|---|
| Published in |
BMC Genomics, March 2013
|
| DOI | 10.1186/1471-2164-14-190 |
| Pubmed ID | |
| Authors |
Laxmi Iyer Ravi, Liang Li, Richard Sutejo, Hui Chen, Pui San Wong, Boon Huan Tan, Richard J Sugrue |
| Abstract |
Respiratory syncytial virus (RSV) is an important cause of lower respiratory tract infection in young children. The degree of disease severity is determined by the host response to infection. Lung macrophages play an important early role in the host response to infection and we have used a systems-based approach to examine the host response in RSV-infected lung-derived macrophage cells. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Student > Master | 8 | 17% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 4 | 8% |
| Other | 4 | 8% |
| Other | 6 | 13% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Agricultural and Biological Sciences | 8 | 17% |
| Immunology and Microbiology | 6 | 13% |
| Medicine and Dentistry | 5 | 10% |
| Chemistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2013.
All research outputs
#14,102,711
of 22,701,287 outputs
Outputs from BMC Genomics
#5,642
of 10,622 outputs
Outputs of similar age
#122,799
of 215,834 outputs
Outputs of similar age from BMC Genomics
#64
of 132 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 215,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 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 50% of its contemporaries.