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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers
|
---|---|
Published in |
BMC Bioinformatics, November 2022
|
DOI | 10.1186/s12859-022-05015-z |
Pubmed ID | |
Authors |
Zhen-Zhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Researcher | 1 | 13% |
Unknown | 5 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
Immunology and Microbiology | 1 | 13% |
Unknown | 5 | 63% |
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 10 November 2022.
All research outputs
#16,306,196
of 24,792,414 outputs
Outputs from BMC Bioinformatics
#5,251
of 7,589 outputs
Outputs of similar age
#232,982
of 434,879 outputs
Outputs of similar age from BMC Bioinformatics
#118
of 174 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,589 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 434,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.