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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iPSC-Derived Microglia as a Model to Study Inflammation in Idiopathic Parkinson’s Disease
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, November 2021
|
| DOI | 10.3389/fcell.2021.740758 |
| Pubmed ID | |
| Authors |
Katja Badanjak, Patrycja Mulica, Semra Smajic, Sylvie Delcambre, Leon-Charles Tranchevent, Nico Diederich, Thomas Rauen, Jens C. Schwamborn, Enrico Glaab, Sally A. Cowley, Paul M. A. Antony, Sandro L. Pereira, Carmen Venegas, Anne Grünewald |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 18% |
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Agricultural and Biological Sciences | 6 | 9% |
| Immunology and Microbiology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 24 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 November 2021.
All research outputs
#2,959,670
of 23,310,485 outputs
Outputs from Frontiers in Cell and Developmental Biology
#577
of 9,293 outputs
Outputs of similar age
#68,013
of 440,236 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#45
of 990 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 440,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 990 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 95% of its contemporaries.