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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A genomic and evolutionary approach reveals non-genetic drug resistance in malaria
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0511-2 |
| Pubmed ID | |
| Authors |
Jonathan D Herman, Daniel P Rice, Ulf Ribacke, Jacob Silterra, Amy A Deik, Eli L Moss, Kate M Broadbent, Daniel E Neafsey, Michael M Desai, Clary B Clish, Ralph Mazitschek, Dyann F Wirth |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Belgium | 1 | 2% |
| Taiwan | 1 | 2% |
| Unknown | 52 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Ph. D. Student | 15 | 27% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 3 | 5% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 38% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Chemistry | 4 | 7% |
| Computer Science | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 10 | 18% |
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 11 August 2020.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Genome Biology
#4,233
of 4,467 outputs
Outputs of similar age
#185,365
of 269,856 outputs
Outputs of similar age from Genome Biology
#104
of 106 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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 is in the 4th percentile – i.e., 4% 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 269,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 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.