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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards pixel-to-pixel deep nucleus detection in microscopy images
|
|---|---|
| Published in |
BMC Bioinformatics, September 2019
|
| DOI | 10.1186/s12859-019-3037-5 |
| Pubmed ID | |
| Authors |
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang |
X Demographics
The data shown below were collected from the profiles of 26 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 States | 5 | 19% |
| France | 3 | 12% |
| Canada | 2 | 8% |
| United Kingdom | 2 | 8% |
| India | 2 | 8% |
| Congo, The Democratic Republic of the | 1 | 4% |
| United Arab Emirates | 1 | 4% |
| Mexico | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 85% |
| Scientists | 4 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Researcher | 14 | 20% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 29% |
| Engineering | 6 | 9% |
| Medicine and Dentistry | 5 | 7% |
| Neuroscience | 3 | 4% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 27 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 22 May 2020.
All research outputs
#2,396,623
of 23,163,378 outputs
Outputs from BMC Bioinformatics
#714
of 7,342 outputs
Outputs of similar age
#51,416
of 340,439 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 103 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,342 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 340,439 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 84% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.