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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blood Monocytes and Their Subsets: Established Features and Open Questions
|
|---|---|
| Published in |
Frontiers in immunology, August 2015
|
| DOI | 10.3389/fimmu.2015.00423 |
| Pubmed ID | |
| Authors |
Loems Ziegler-Heitbrock |
| Abstract |
In contrast to the past reliance on morphology, the identification and enumeration of blood monocytes are nowadays done with monoclonal antibodies and flow cytometry and this allows for subdivision into classical, intermediate, and non-classical monocytes. Using specific cell surface markers, dendritic cells in blood can be segregated from these monocytes. While in the past, changes in monocyte numbers as determined in standard hematology counters have not had any relevant clinical impact, the subset analysis now has uncovered informative changes that may be used in management of disease. |
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 Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Unknown | 369 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 23% |
| Researcher | 65 | 17% |
| Student > Master | 51 | 14% |
| Student > Bachelor | 42 | 11% |
| Student > Doctoral Student | 20 | 5% |
| Other | 47 | 13% |
| Unknown | 61 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 83 | 22% |
| Agricultural and Biological Sciences | 71 | 19% |
| Medicine and Dentistry | 60 | 16% |
| Biochemistry, Genetics and Molecular Biology | 51 | 14% |
| Neuroscience | 6 | 2% |
| Other | 24 | 6% |
| Unknown | 77 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 May 2020.
All research outputs
#4,658,834
of 25,371,288 outputs
Outputs from Frontiers in immunology
#5,063
of 31,507 outputs
Outputs of similar age
#54,523
of 277,783 outputs
Outputs of similar age from Frontiers in immunology
#19
of 151 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,507 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 83% 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 277,783 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 80% of its contemporaries.
We're also able to compare this research output to 151 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.