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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human infectious diseases in the genomics era: where do we go from here?
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0529-5 |
| Pubmed ID | |
| Authors |
Ripudaman K Bains |
| Abstract |
Ripudaman K Bains is the editor of the Genome Biology special issue content on the 'genomics of infectious diseases', and introduces the collection in this editorial. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 6 | 40% |
| Spain | 1 | 7% |
| United Kingdom | 1 | 7% |
| Australia | 1 | 7% |
| India | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Taiwan | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 32% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Bachelor | 6 | 12% |
| Other | 6 | 12% |
| Student > Master | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 38% |
| Biochemistry, Genetics and Molecular Biology | 14 | 28% |
| Medicine and Dentistry | 5 | 10% |
| Computer Science | 4 | 8% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 21 January 2015.
All research outputs
#1,073,379
of 25,374,647 outputs
Outputs from Genome Biology
#772
of 4,467 outputs
Outputs of similar age
#13,637
of 368,584 outputs
Outputs of similar age from Genome Biology
#14
of 101 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 82% 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 368,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.