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
Attention Score in Context
| Title |
Deep learning classification for macrophage subtypes through cell migratory pattern analysis
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, February 2024
|
| DOI | 10.3389/fcell.2024.1259037 |
| Pubmed ID | |
| Authors |
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, Cynthia Recendez, Daniel Fregoso, Hsin-Ya Yang, Elham Aslankoohi, Rivkah Isseroff, Marco Rolandi, Min Zhao, Marcella Gomez |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 February 2024.
All research outputs
#17,220,409
of 25,359,594 outputs
Outputs from Frontiers in Cell and Developmental Biology
#4,565
of 10,423 outputs
Outputs of similar age
#90,528
of 176,970 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#20
of 117 outputs
Altmetric has tracked 25,359,594 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,423 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 55% 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 176,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.