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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach
|
|---|---|
| Published in |
Frontiers in Pharmacology, October 2020
|
| DOI | 10.3389/fphar.2020.572372 |
| Pubmed ID | |
| Authors |
Bowei Ma, Yucheng Guo, Weian Hu, Fei Yuan, Zhenggang Zhu, Yingyan Yu, Hao Zou |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| India | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 17 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 14% |
| Engineering | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 50% |
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 12 November 2020.
All research outputs
#14,518,338
of 23,257,423 outputs
Outputs from Frontiers in Pharmacology
#4,863
of 16,698 outputs
Outputs of similar age
#227,016
of 412,353 outputs
Outputs of similar age from Frontiers in Pharmacology
#134
of 419 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,698 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 68% 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 412,353 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 419 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 65% of its contemporaries.