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X Demographics
Mendeley readers
Attention Score in Context
Title |
Reporting and connecting cell type names and gating definitions through ontologies
|
---|---|
Published in |
BMC Bioinformatics, April 2019
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DOI | 10.1186/s12859-019-2725-5 |
Pubmed ID | |
Authors |
James A. Overton, Randi Vita, Patrick Dunn, Julie G. Burel, Syed Ahmad Chan Bukhari, Kei-Hoi Cheung, Steven H. Kleinstein, Alexander D. Diehl, Bjoern Peters |
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 % |
---|---|---|
United States | 3 | 60% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 38% |
Student > Ph. D. Student | 3 | 19% |
Student > Bachelor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 31% |
Agricultural and Biological Sciences | 3 | 19% |
Engineering | 2 | 13% |
Computer Science | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 February 2023.
All research outputs
#5,552,528
of 23,267,128 outputs
Outputs from BMC Bioinformatics
#1,955
of 7,366 outputs
Outputs of similar age
#100,655
of 350,514 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 183 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,366 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 gotten more attention than average, scoring higher than 73% 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 350,514 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 71% of its contemporaries.
We're also able to compare this research output to 183 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 72% of its contemporaries.