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X Demographics
Mendeley readers
Attention Score in Context
Title |
Time-resolved dual RNA-seq reveals extensive rewiring of lung epithelial and pneumococcal transcriptomes during early infection
|
---|---|
Published in |
Genome Biology, September 2016
|
DOI | 10.1186/s13059-016-1054-5 |
Pubmed ID | |
Authors |
Rieza Aprianto, Jelle Slager, Siger Holsappel, Jan-Willem Veening |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 5 | 24% |
United States | 2 | 10% |
United Kingdom | 2 | 10% |
Switzerland | 2 | 10% |
Guinea | 1 | 5% |
India | 1 | 5% |
Australia | 1 | 5% |
Chile | 1 | 5% |
Unknown | 6 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 14 | 67% |
Members of the public | 4 | 19% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Unknown | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Unknown | 165 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 20% |
Researcher | 30 | 18% |
Student > Bachelor | 21 | 13% |
Student > Master | 16 | 10% |
Professor > Associate Professor | 7 | 4% |
Other | 23 | 14% |
Unknown | 36 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 41 | 25% |
Agricultural and Biological Sciences | 37 | 22% |
Immunology and Microbiology | 25 | 15% |
Medicine and Dentistry | 11 | 7% |
Computer Science | 5 | 3% |
Other | 9 | 5% |
Unknown | 38 | 23% |
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 20 August 2019.
All research outputs
#3,439,625
of 25,837,817 outputs
Outputs from Genome Biology
#2,430
of 4,506 outputs
Outputs of similar age
#55,137
of 332,499 outputs
Outputs of similar age from Genome Biology
#38
of 54 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 45th percentile – i.e., 45% 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 332,499 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 83% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.