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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants
|
|---|---|
| Published in |
Plant Methods, July 2020
|
| DOI | 10.1186/s13007-020-00642-0 |
| Pubmed ID | |
| Authors |
Xi Zhang, Zijian Hu, Yayu Guo, Xiaoyi Shan, Xiaojuan Li, Jinxing Lin |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 25% |
| Peru | 1 | 13% |
| United States | 1 | 13% |
| Germany | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Professor | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 27% |
| Unspecified | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Energy | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 October 2020.
All research outputs
#7,618,361
of 23,225,652 outputs
Outputs from Plant Methods
#513
of 1,098 outputs
Outputs of similar age
#163,100
of 398,848 outputs
Outputs of similar age from Plant Methods
#18
of 37 outputs
Altmetric has tracked 23,225,652 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,098 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 50% 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 398,848 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.