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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel biomanufacturing platform for large-scale and high-quality human T cells production
|
|---|---|
| Published in |
Journal of Biological Engineering, April 2019
|
| DOI | 10.1186/s13036-019-0167-2 |
| Pubmed ID | |
| Authors |
Jianfa Ou, Yingnan Si, Yawen Tang, Grace E. Salzer, Yun Lu, Seulhee Kim, Hongwei Qin, Lufang Zhou, Xiaoguang Liu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 12 | 14% |
| Student > Master | 6 | 7% |
| Other | 4 | 5% |
| Other | 4 | 5% |
| Unknown | 30 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Agricultural and Biological Sciences | 10 | 11% |
| Immunology and Microbiology | 7 | 8% |
| Engineering | 6 | 7% |
| Chemical Engineering | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 31 | 36% |
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 30 May 2019.
All research outputs
#13,293,270
of 23,146,350 outputs
Outputs from Journal of Biological Engineering
#150
of 270 outputs
Outputs of similar age
#168,425
of 349,764 outputs
Outputs of similar age from Journal of Biological Engineering
#7
of 15 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 270 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 43rd percentile – i.e., 43% 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 349,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 15 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 53% of its contemporaries.