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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An iPSC-Derived Myeloid Lineage Model of Herpes Virus Latency and Reactivation
|
|---|---|
| Published in |
Frontiers in Microbiology, October 2019
|
| DOI | 10.3389/fmicb.2019.02233 |
| Pubmed ID | |
| Authors |
Emma Poole, Christopher J. Z. Huang, Jessica Forbester, Miri Shnayder, Aharon Nachshon, Baraa Kweider, Anna Basaj, Daniel Smith, Sarah Elizabeth Jackson, Bin Liu, Joy Shih, Fedir N. Kiskin, K. Roche, E. Murphy, Mark R. Wills, Nicholas W. Morrell, Gordon Dougan, Noam Stern-Ginossar, Amer A. Rana, John Sinclair |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 50% |
| Korea, Republic of | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Unspecified | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 6 | 18% |
| Medicine and Dentistry | 4 | 12% |
| Immunology and Microbiology | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 October 2019.
All research outputs
#14,062,445
of 23,942,830 outputs
Outputs from Frontiers in Microbiology
#11,074
of 26,641 outputs
Outputs of similar age
#177,296
of 355,419 outputs
Outputs of similar age from Frontiers in Microbiology
#323
of 723 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,641 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 57% 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 355,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.