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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00881-3 |
| Pubmed ID | |
| Authors |
Fan Zhang, Joseph R. Mears, Lorien Shakib, Jessica I. Beynor, Sara Shanaj, Ilya Korsunsky, Aparna Nathan, Laura T. Donlin, Soumya Raychaudhuri |
X Demographics
The data shown below were collected from the profiles of 28 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 | 9 | 32% |
| United Kingdom | 3 | 11% |
| Canada | 2 | 7% |
| Mexico | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 12 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 54% |
| Members of the public | 13 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 13% |
| Student > Ph. D. Student | 19 | 11% |
| Student > Master | 12 | 7% |
| Student > Bachelor | 12 | 7% |
| Other | 10 | 6% |
| Other | 29 | 17% |
| Unknown | 63 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 26 | 16% |
| Medicine and Dentistry | 26 | 16% |
| Biochemistry, Genetics and Molecular Biology | 18 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 22 | 13% |
| Unknown | 64 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 28 September 2021.
All research outputs
#1,739,544
of 25,998,826 outputs
Outputs from Genome Medicine
#378
of 1,612 outputs
Outputs of similar age
#45,277
of 456,479 outputs
Outputs of similar age from Genome Medicine
#18
of 57 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 76% 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 456,479 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 90% of its contemporaries.
We're also able to compare this research output to 57 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 68% of its contemporaries.