You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
SARS-CoV-2 specific plasma cells acquire long-lived phenotypes in human bone marrow
|
|---|---|
| Published in |
EBioMedicine, August 2023
|
| DOI | 10.1016/j.ebiom.2023.104735 |
| Pubmed ID | |
| Authors |
Axel R. Schulz, Leonard Fiebig, Heike Hirseland, Lisa-Marie Diekmann, Simon Reinke, Sebastian Hardt, Antonia Niedobitek, Henrik E. Mei |
X Demographics
The data shown below were collected from the profiles of 50 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 | 18% |
| Spain | 3 | 6% |
| United Kingdom | 2 | 4% |
| India | 1 | 2% |
| Philippines | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 88% |
| Scientists | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Student > Bachelor | 2 | 20% |
| Researcher | 2 | 20% |
| Other | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Medicine and Dentistry | 2 | 20% |
| Immunology and Microbiology | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 31 March 2024.
All research outputs
#809,130
of 26,004,690 outputs
Outputs from EBioMedicine
#411
of 4,108 outputs
Outputs of similar age
#14,992
of 363,880 outputs
Outputs of similar age from EBioMedicine
#16
of 119 outputs
Altmetric has tracked 26,004,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,108 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one has done well, scoring higher than 89% 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 363,880 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 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.