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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid screening of engineered microbial therapies in a 3D multicellular model
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, April 2019
|
| DOI | 10.1073/pnas.1820824116 |
| Pubmed ID | |
| Authors |
Tetsuhiro Harimoto, Zakary S. Singer, Oscar S. Velazquez, Joanna Zhang, Samuel Castro, Taylor E. Hinchliffe, William Mather, Tal Danino |
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% |
| Turkey | 1 | 7% |
| Guinea | 1 | 7% |
| Australia | 1 | 7% |
| Italy | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 25% |
| Researcher | 21 | 17% |
| Student > Bachelor | 15 | 12% |
| Student > Doctoral Student | 11 | 9% |
| Student > Master | 10 | 8% |
| Other | 16 | 13% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 30% |
| Agricultural and Biological Sciences | 15 | 12% |
| Engineering | 10 | 8% |
| Medicine and Dentistry | 9 | 7% |
| Immunology and Microbiology | 5 | 4% |
| Other | 22 | 18% |
| Unknown | 27 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 19 July 2023.
All research outputs
#722,038
of 25,171,799 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#12,057
of 102,489 outputs
Outputs of similar age
#16,285
of 357,343 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#262
of 986 outputs
Altmetric has tracked 25,171,799 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 102,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one has done well, scoring higher than 88% 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 357,343 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 95% of its contemporaries.
We're also able to compare this research output to 986 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 73% of its contemporaries.