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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic genome-scale cell-specific metabolic models reveal novel inter-cellular and intra-cellular metabolic communications during ovarian follicle development
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2825-2 |
| Pubmed ID | |
| Authors |
Beatriz Peñalver Bernabé, Ines Thiele, Eugene Galdones, Anaar Siletz, Sriram Chandrasekaran, Teresa K. Woodruff, Linda J. Broadbelt, Lonnie D. Shea |
X Demographics
The data shown below were collected from the profiles of 15 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 | 20% |
| Australia | 2 | 13% |
| Germany | 1 | 7% |
| France | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Scientists | 6 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 5 | 10% |
| Professor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Engineering | 3 | 6% |
| Computer Science | 3 | 6% |
| Environmental Science | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 August 2023.
All research outputs
#3,353,910
of 25,257,066 outputs
Outputs from BMC Bioinformatics
#1,086
of 7,664 outputs
Outputs of similar age
#66,710
of 360,375 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 190 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 85% 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 360,375 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 81% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.