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Ebola Virus Epidemiology, Transmission, and Evolution during Seven Months in Sierra Leone

Overview of attention for article published in Cell, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

8 news outlets
1 policy source
78 tweeters
6 Facebook pages
1 Google+ user
1 Redditor

Readers on

225 Mendeley
1 CiteULike
Ebola Virus Epidemiology, Transmission, and Evolution during Seven Months in Sierra Leone
Published in
Cell, June 2015
DOI 10.1016/j.cell.2015.06.007
Pubmed ID

Park, Daniel J, Dudas, Gytis, Wohl, Shirlee, Goba, Augustine, Whitmer, Shannon L M, Andersen, Kristian G, Sealfon, Rachel S, Ladner, Jason T, Kugelman, Jeffrey R, Matranga, Christian B, Winnicki, Sarah M, Qu, James, Gire, Stephen K, Gladden-Young, Adrianne, Jalloh, Simbirie, Nosamiefan, Dolo, Yozwiak, Nathan L, Moses, Lina M, Jiang, Pan-Pan, Lin, Aaron E, Schaffner, Stephen F, Bird, Brian, Towner, Jonathan, Mamoh, Mambu, Gbakie, Michael, Kanneh, Lansana, Kargbo, David, Massally, James L B, Kamara, Fatima K, Konuwa, Edwin, Sellu, Josephine, Jalloh, Abdul A, Mustapha, Ibrahim, Foday, Momoh, Yillah, Mohamed, Erickson, Bobbie R, Sealy, Tara, Blau, Dianna, Paddock, Christopher, Brault, Aaron, Amman, Brian, Basile, Jane, Bearden, Scott, Belser, Jessica, Bergeron, Eric, Campbell, Shelley, Chakrabarti, Ayan, Dodd, Kimberly, Flint, Mike, Gibbons, Aridth, Goodman, Christin, Klena, John, McMullan, Laura, Morgan, Laura, Russell, Brandy, Salzer, Johanna, Sanchez, Angela, Wang, David, Jungreis, Irwin, Tomkins-Tinch, Christopher, Kislyuk, Andrey, Lin, Michael F, Chapman, Sinead, MacInnis, Bronwyn, Matthews, Ashley, Bochicchio, James, Hensley, Lisa E, Kuhn, Jens H, Nusbaum, Chad, Schieffelin, John S, Birren, Bruce W, Forget, Marc, Nichol, Stuart T, Palacios, Gustavo F, Ndiaye, Daouda, Happi, Christian, Gevao, Sahr M, Vandi, Mohamed A, Kargbo, Brima, Holmes, Edward C, Bedford, Trevor, Gnirke, Andreas, Ströher, Ute, Rambaut, Andrew, Garry, Robert F, Sabeti, Pardis C, Daniel J. Park, Gytis Dudas, Shirlee Wohl, Augustine Goba, Shannon L.M. Whitmer, Kristian G. Andersen, Rachel S. Sealfon, Jason T. Ladner, Jeffrey R. Kugelman, Christian B. Matranga, Sarah M. Winnicki, James Qu, Stephen K. Gire, Adrianne Gladden-Young, Simbirie Jalloh, Dolo Nosamiefan, Nathan L. Yozwiak, Lina M. Moses, Pan-Pan Jiang, Aaron E. Lin, Stephen F. Schaffner, Brian Bird, Jonathan Towner, Mambu Mamoh, Michael Gbakie, Lansana Kanneh, David Kargbo, James L.B. Massally, Fatima K. Kamara, Edwin Konuwa, Josephine Sellu, Abdul A. Jalloh, Ibrahim Mustapha, Momoh Foday, Mohamed Yillah, Bobbie R. Erickson, Tara Sealy, Dianna Blau, Christopher Paddock, Aaron Brault, Brian Amman, Jane Basile, Scott Bearden, Jessica Belser, Eric Bergeron, Shelley Campbell, Ayan Chakrabarti, Kimberly Dodd, Mike Flint, Aridth Gibbons, Christin Goodman, John Klena, Laura McMullan, Laura Morgan, Brandy Russell, Johanna Salzer, Angela Sanchez, David Wang, Irwin Jungreis, Christopher Tomkins-Tinch, Andrey Kislyuk, Michael F. Lin, Sinead Chapman, Bronwyn MacInnis, Ashley Matthews, James Bochicchio, Lisa E. Hensley, Jens H. Kuhn, Chad Nusbaum, John S. Schieffelin, Bruce W. Birren, Marc Forget, Stuart T. Nichol, Gustavo F. Palacios, Daouda Ndiaye, Christian Happi, Sahr M. Gevao, Mohamed A. Vandi, Brima Kargbo, Edward C. Holmes, Trevor Bedford, Andreas Gnirke, Ute Ströher, Andrew Rambaut, Robert F. Garry, Pardis C. Sabeti


The 2013-2015 Ebola virus disease (EVD) epidemic is caused by the Makona variant of Ebola virus (EBOV). Early in the epidemic, genome sequencing provided insights into virus evolution and transmission and offered important information for outbreak response. Here, we analyze sequences from 232 patients sampled over 7 months in Sierra Leone, along with 86 previously released genomes from earlier in the epidemic. We confirm sustained human-to-human transmission within Sierra Leone and find no evidence for import or export of EBOV across national borders after its initial introduction. Using high-depth replicate sequencing, we observe both host-to-host transmission and recurrent emergence of intrahost genetic variants. We trace the increasing impact of purifying selection in suppressing the accumulation of nonsynonymous mutations over time. Finally, we note changes in the mucin-like domain of EBOV glycoprotein that merit further investigation. These findings clarify the movement of EBOV within the region and describe viral evolution during prolonged human-to-human transmission.

Twitter Demographics

The data shown below were collected from the profiles of 78 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 3 1%
France 2 <1%
Spain 2 <1%
Japan 2 <1%
Germany 1 <1%
South Africa 1 <1%
Italy 1 <1%
Brazil 1 <1%
Other 5 2%
Unknown 198 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 27%
Student > Ph. D. Student 51 23%
Student > Bachelor 35 16%
Student > Master 28 12%
Other 11 5%
Other 39 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 47%
Medicine and Dentistry 46 20%
Biochemistry, Genetics and Molecular Biology 25 11%
Immunology and Microbiology 12 5%
Computer Science 5 2%
Other 31 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 06 December 2016.
All research outputs
of 7,435,787 outputs
Outputs from Cell
of 8,852 outputs
Outputs of similar age
of 224,091 outputs
Outputs of similar age from Cell
of 221 outputs
Altmetric has tracked 7,435,787 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.4. This one has done particularly well, scoring higher than 96% 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 224,091 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 99% of its contemporaries.
We're also able to compare this research output to 221 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 92% of its contemporaries.