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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phylogeography of influenza A H5N1 clade 2.2.1.1 in Egypt
|
|---|---|
| Published in |
BMC Genomics, December 2013
|
| DOI | 10.1186/1471-2164-14-871 |
| Pubmed ID | |
| Authors |
Matthew Scotch, Changjiang Mei, Yilma J Makonnen, Julio Pinto, AbdelHakim Ali, Sally Vegso, Michael Kane, Indra Neil Sarkar, Peter Rabinowitz |
| Abstract |
Influenza A H5N1 has killed millions of birds and raises serious public health concern because of its potential to spread to humans and cause a global pandemic. While the early focus was in Asia, recent evidence suggests that Egypt is a new epicenter for the disease. This includes characterization of a variant clade 2.2.1.1, which has been found almost exclusively in Egypt.We analyzed 226 HA and 92 NA sequences with an emphasis on the H5N1 2.2.1.1 strains in Egypt using a Bayesian discrete phylogeography approach. This allowed modeling of virus dispersion between Egyptian governorates including the most likely origin. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 14% |
| Student > Master | 5 | 14% |
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 14% |
| Veterinary Science and Veterinary Medicine | 4 | 11% |
| Computer Science | 3 | 8% |
| Social Sciences | 3 | 8% |
| Environmental Science | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 16 February 2014.
All research outputs
#711,627
of 25,374,917 outputs
Outputs from BMC Genomics
#74
of 11,244 outputs
Outputs of similar age
#7,267
of 320,160 outputs
Outputs of similar age from BMC Genomics
#2
of 209 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 320,160 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 97% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.