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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tree inference for single-cell data
|
|---|---|
| Published in |
Genome Biology, May 2016
|
| DOI | 10.1186/s13059-016-0936-x |
| Pubmed ID | |
| Authors |
Katharina Jahn, Jack Kuipers, Niko Beerenwinkel |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 2 | 15% |
| United States | 2 | 15% |
| Belgium | 1 | 8% |
| Spain | 1 | 8% |
| Austria | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 260 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 26% |
| Researcher | 58 | 21% |
| Student > Master | 30 | 11% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 16 | 6% |
| Other | 33 | 12% |
| Unknown | 47 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 28% |
| Biochemistry, Genetics and Molecular Biology | 69 | 25% |
| Computer Science | 42 | 15% |
| Mathematics | 11 | 4% |
| Medicine and Dentistry | 7 | 3% |
| Other | 15 | 6% |
| Unknown | 51 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 January 2021.
All research outputs
#1,668,283
of 26,017,215 outputs
Outputs from Genome Biology
#1,354
of 4,513 outputs
Outputs of similar age
#26,933
of 316,170 outputs
Outputs of similar age from Genome Biology
#32
of 76 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 69% 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 316,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 76 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 57% of its contemporaries.